Resume - Jawad Arshad

Section Type

Education

Experience

Projects

Academic Experience

Technologies

Andriod Studio

Assembly

Balsamiq Wireframes

Bash

C++

Docker

Express

ExpressJS

Figma

Flask

Git

HTML5/CSS3

Haskell

Java

Javascript

Jira

Matlab

MongoDB

MySQL

MySql

NodeJS

Prolog

Python

React

SQLite

SVN

Scheme

Theory

Web Sockets

Wireshark

XML

Filters

Complete/Full

Machine Learning

Software Engineer

Education

University of Toronto (GPA: 3.7)

Toronto, ON

Bachelor of Science in Computer Science, Specialist Program Comprehensive Stream

Sept. 2019 -- May 2024

Experience

Full Stack / Blockchain Developer

Toronto, ON

Dapp Technology Inc

May 2022 -- Present

Built a full-stack web application using NextJS with Typescript, NestJS and Firebase to allow users to bridge tokens on multiple chains, had over 30+ chains with 4000+ tokens on 15+ bridges.
Developed a DeFi Hub application that allowed users to trade, earn and explore in DeFi, with real time price data shown on a Tradingview lightweight charts.
Implemented functions to firebase function that completed various tasks, like updating a price document on firebase store on a scheduled basis.
Deployed many Smart Contracts to the blockchain, like a pre-sale contract, and a lottery contract.

Experience

Machine Learning Teaching Assistant

Toronto, ON

University of Toronto

Jan 2024 -- Apr 2024

Taught two Classes per week various topics in machine learning like regression, classification, clustering, dimension reduction, Bayesian methods, etc.
Worked with the teaching team to provide a holistic learning experience
Contributed to the assessment and evaluation process through grading assignments, invigilating exams, as well as providing feedback.
Provided extra help to students by holding office hours for them to ask questions.

Experience

Quality Assurance Co-op

Toronto, ON

Clearbridge Mobile

May 2021 -- Jan 2022

Developed scripts in Java with selenium to automate web test flows to significantly reduce the time it takes to start testing.
Worked in teams of 6 - 15 member teams in an agile work environment to develop, test, and release new features every couple of weeks.
Tested applications using a variety of test methods like, regression, smoke, sanity and more.
Ensured that developed applications were working as expected for a large enterprise company client.

Experience

Infantry Solider Primary Reserve

Toronto, ON

Canadian Armed Forces

Oct 2018 -- Aug 2021

Faced challenges and made critical decisions under pressure, showcasing sound judgment and problem-solving skills
Communicated and received orders via the Chain of Command.
Always maintained strict discipline and adherence to military protocols and regulations.
Worked in teams from 10 to 40 soldiers to accomplish various mock missions from the Chain of Command.
Led section/course as the section/platoon senior to effectively delegate/complete tasks that were assigned

Experience

Operations Associate

Toronto, ON

Staples

Aug 2020 -- May 2021

Improved efficiency by improving time it took to complete daily tasks to allow for more time to do tasks that improved the store.
Oversaw inventory control, including procurement, and stock tracking. Maintained accurate records and minimized stock outages, ensuring consistent availability of essential supplies.
Provided excellent customer service by addressing inquiries and concerns related to product availability, orders, and inventory.

Experience

Back-of-House Staff

Toronto, ON

Pizza Hut

Oct 2019 - Jan 2020

Improved efficiency of the back of the store by 50% by improving the way we schedule when to complete tasks in what order.
Prepared pizza dough, sauces, and toppings according to standardized recipes and quality standards, ensuring consistency in taste and presentation.
Ensured the timely and thorough cleaning of dishes, utensils, and kitchen equipment, maintaining a smooth workflow in the restaurant's kitchen.

Python

Projects

Pac-Man and Other AIs

Toronto, ON

Jan 2024 -- Apr 2024

Created a artificial intelligent pac-man agent that explored paths through the mazes, to both reach a particular location and to collect all food efficiently. Used DFS, BFS, UCS, varying the cost function, A* (with many admissible heuristics, and even good heuristics for sub optimal performance, but better speed).
Engineered a artificial intelligent pac-man agent, that completed the pacman game while avoiding the adversarial ghost. Agents included reflex agents, Minimax (with and without alpha-beta pruning), Expectimax (with different evaluation functions).
Built artificial intelligent agents to use Markov Decision Processes and reinforcement learning to solve various problems, like grid world, simulated robot controller (Crawler) and Pacman.
Developed artificial intelligent agents to hunt ghosts down in ghost busters, used bayes nets and factors to infer the location of the ghosts, with variable elimination.

Python, C, Bash, Wireshark

Projects

CTF Challenges

Toronto, ON

Jan 2024 -- Apr 2024

Hacked networks to conduct different types of attacks, like packet sniffing (with wireshark, and scapy python library), malicious gateway, APR spoofing, ICMP Ping flood, TCP-syc flooding, TCP connection reset, DNS cache poisoning, http sniffer, ssl striping, as well as doing general penetration testing (using nmap, openvas, metasploit).
Looked at rainbow tables to reverse hashed passwords.
Hacked systems using different attacks like buffer overflow (Stack Smashing Attack (Branching), Stack Smashing Attack (Shellcode), Adjacent Memory Shellcode), TOCTOU, hidden malware (malware inside a Debian package).
Hacked web applications using various attacks like Incomplete Mediation, SQL injection (SQLi), Cross-Site Scripting (XSS), Cross-Site Request Forgery (CSRF).
Wrote a protocol that is similar to TLS version 1.3, that used the Diffie Hellman key exchange algorithm.
Worked with different public and symmetric key algorithms like Caesar Ciphers, Substitution Ciphers, Poly alphabetic Ciphers, One Time Pad Ciphers, Stream Ciphers (RC4, Salsa20/Chacha20), Block Ciphers (DES, AES), RSA, ECC. Also exploited different vulnerability like key reuse attacks, known plain text, etc.
Explored cryptographic hash functions and message authentication codes (MD5 SHA-1, etc), and exploited different vulnerability like hash length extensions. Also used GPG to encrypt and sign messages.

Python, Git

Projects

Langchain

Toronto, ON

Sept 2023 -- Dec 2023

Contributed to an open-source python repository called Langchain.
Developed new tools that allowed AI agents to access information on the google such as google jobs, google finance, google trends, and google lens by calling a external API and parsing the data for the AI agent.
Wrote test cases and example docs for the new tools.

React, Express, MongoDB, Docker, Web Sockets, Git

Projects

Collaborative Web Builder App

Toronto, ON

Sept 2023 -- Dec 2023

Built a drag and drop website builder with React and expressJS, that allowed multiple users to work on the same site and chat using web sockets and allowed them to share their videos and audio with webRTC.
Used Cookies to store user sessions, and OAuth to authenticate users.
Deployed the website on a google cloud virtual machine using docker images for the frontend and backend.
Deployed using a nginx reverse proxy to have both the front and backend on the same machine.
Wrote a shell script to help automate the deployment process.

Java, MySql

Projects

Mock AirBnb Database and Backend

Toronto, ON

May 2023 -- Aug 2023

Developed a replica database of Airbnb in MySQL.
Allowed users to add listings with multiple amenities for any dates and allowing other users to rent out the listings
Normalized the relation into 3NF
Built a backend Java application that allowed users to CRUD items into the database.

MySql

Projects

Mock Twitter Database

Toronto, ON

May 2023 -- Aug 2023

Designed a mock Twitter mySQL database allowing users to create tweets and comments, like other users' tweets and comments, and retweet others' tweets.

React, MongoDB, ExpressJS, NodeJS, Jira

Projects

Hype Web App

Toronto, ON

May 2023 -- Aug 2023

Collaborated with a startup founder to build a MERN platform facilitating interaction between students and companies for internships and competitions.
Developed a short polling chat application within the platform for users/companies interaction.
Automated the deployment process using Git actions to build Docker images and push them to Docker Hub.
Used Git Flow including merging, rebasing, and PRs, and release management.
Tracked team progress with 2 weeks agile sprints, and Jira as a management tool
Scoped project by creating user stories, use cases, personas, acceptance criteria, and estimating stories

Python

Projects

Machine Learning News Article Classifier

Toronto, ON

Jan 2023 -- Apr 2023

Implemented and evaluated classifiers for labeling news articles into five categories using Naive Bayes, Gaussian class conditional, and k-nearest neighbors classifiers.

Python

Projects

Machine Learning Audio Emotion Classifier

Toronto, ON

Jan 2023 -- Apr 2023

Developed and evaluated an SVM classifier and an SVM classifier with PCA to predict whether the emotion associated with a human audio signal is positive or negative using Mel spectrogram and chromagram features.

Python

Projects

Machine Learning Image Imprinter

Toronto, ON

Jan 2023 -- Apr 2023

Applied radial basis functions to restore corrupted images in a painter program.

Python

Projects

Machine Learning Orange Classifier

Toronto, ON

Jan 2023 -- Apr 2023

Wrote a basic logistic regression script to classify objects as oranges based on width and height.

Python

Projects

Machine Learning University Admission Predictor

Toronto, ON

Jan 2023 -- Apr 2023

Developed and compared models for university admission prediction using linear regression and k-means++, including clustering the data before applying linear regression.

Projects

Pintos Operating System

Toronto, ON

Jan 2022 -- Apr 2022

Enhanced the basic Pintos OS by incorporating features like context switching between threads, support for user programs, virtual memory management, and implementation of a file system.
Improved Pintos to efficiently handle multithreading by managing interrupts, implementing context switching with a Multilevel Feedback Queue scheduler, and ensuring proper synchronization using locks and semaphores to avoid race conditions.
Extended Pintos to support user programs by implementing system calls, managing the process control block, and separating user threads from kernel threads.
Implemented virtual memory support in Pintos using paging with swapping, memory management with the buddy system, and page swapping with a second chance algorithm.
Enhanced Pintos with a more efficient file system design, incorporating features like inodes, multi-level index files, directories, and a buffer cache for improved performance.

HTML5/CSS3, Javascript, Flask, SQLite, Git

Projects

Web Learning Management System

Toronto, ON

Jan 2021 -- Apr 2021

Created a website that allowed student and teachers to interact, by allowing teachers to post lecture material, assignments and grades, and allowed students to submit assignments and ask questions on a discussion board.
Engineered a responsive website using HTML/CSS and JS in the frontend as well as Python Flask, and SQLite in the backend.

Assembly

Projects

Asteroids Game

Toronto, ON

Jan 2021 -- Apr 2021

Built a asteroids dodging game in Assembly

Projects

Simple Server and Client

Toronto, ON

Jan 2021 -- Apr 2021

Employed signals to interrupt programs and sockets to establish two-way communication between a simple server and client.

Projects

Machine Learning Image Number Classifier

Toronto, ON

Jan 2021 -- Apr 2021

Developed a machine learning handwritten number classifier using kNN with a 97% accuracy rate.
Enhanced the machine learning handwritten number classifier by transitioning from kNN to a decision tree, reducing running time from 45 minutes to 12 minutes.
Implemented multiprocessing to accelerate the classification of 10,000 items, reducing processing time from 45 minutes to 5 minutes by distributing work across multiple forked processes and communicating via pipes.
Utilized makefiles for efficient building and compiling of programs.

Java, SVN

Projects

Mock Linux Shell

Toronto, ON

Sep 2020 -- Dec 2020

Developed a mock (Linux) Shell in Java, employing various features of object-oriented programming.
Created an abstract command class to facilitate easy development and extension of new commands (mkdir, ls, cat, redirection, and more).
Engineered a virtual file system using a tree structure.
Implemented a text-based save file format to preserve the current state of the shell for future loading.
Engaged in a 2-week agile development cycle for rapid development and testing using SVN to version control.
Conducted testing of classes using JUnit test suites and mock classes.
Utilized CRC cards for brainstorming the design of object-oriented software.

Java, XML, Git, Andriod Studio

Projects

Budget for the Masses

Toronto, ON

Feb 2020

Engineered a budgeting Andriod app for the everyday person.
Built and tested over a 3 day period during the Hack the Valley 4 Hackathon.

Projects

Naive Movie Database

Toronto, ON

Jan 2020 -- Apr 2020

Developed a naive database using C, employing linked lists and structs to manage movie information and reviews.

Projects

Music Sequencer

Toronto, ON

Jan 2020 -- Apr 2020

Created a music sequencer with functionalities for storing, organizing, and manipulating musical notes, utilizing a binary search tree and supporting music harmonizing.

Projects

Missing Ingredients Swapper

Toronto, ON

Jan 2020 -- Apr 2020

Devised an ingredients swapper algorithm utilizing k-nearest neighbors and a graph-based ingredient network, emphasizing graph concepts and recursion.

Projects

Caesar Cipher

Toronto, ON

Jan 2020 -- Apr 2020

Designed a Caesar cipher tool for message encryption and decryption, along with a method to break a Caesar cipher.

Projects

Tissue Sample Simulator

Toronto, ON

Jan 2020 -- Apr 2020

Developed a tool simulating tissue samples with various cell types and bacteria using defined functions and data structures.

Projects

Consulate Line Up Tracker

Toronto, ON

Jan 2020 -- Apr 2020

Implemented both good and bad versions of a consulate line up, one utilizing a queue and the other a stack built from scratch.

Projects

Sudoku Solver

Toronto, ON

Jan 2020 -- Apr 2020

Designed a sudoku solver using recursion capable of solving all solvable 9 by 9 sudoku problems in less than 10ms.

Python

Projects

Tweet Parsing Library

Toronto, ON

Sept 2019 -- Dec 2019

Developed a tweet parsing library to validate tweet content.

Python

Projects

Elevation Map Library

Toronto, ON

Sept 2019 -- Dec 2019

Designed an elevation map library with functionalities such as peak detection and map resolution reduction.

Python

Projects

School Club Recommender

Toronto, ON

Sept 2019 -- Dec 2019

Engineered a club recommendation library utilizing databases of people, their friends, and their club affiliations.

Python

Academic Experience

Artificial Intelligence

Toronto, ON

Studied the theories and algorithms of Artificial Intelligence. Topics include search, game playing, logical representations and reasoning, planning, reasoning and decision making with uncertainty, computational perception. Assignments provide practical experience of the core topics.
Looked at many different search methods, like uninformed search methods (DFS, BFS, UCS), and informed search methods (Greedy Search, A*).
Explored Constraint Satisfaction Problem and how to solve them (Backtracking Search, Cutset Conditioning), and efficiently choose unassigned variables with filtering (Forward Checking, Constraint Propagation, Arc Consistency) and ordering (Minimum Remaining Values, Least Constraining Value).
Examined adversarial search problems, and how to solve them using minimax values, and how to make it more efficient with Alpha-Beta Pruning, and Depth-limited search. Followed up with how to solve adversarial search problems with uncertainty using Expectimax, and Monte Carlo Tree Search.
Learned how to find optimal policies for simultaneous games, by finding Nash Equilibrium points, solving Markov Decision Processes (Value Iteration, Policy Iteration)
Acquired techniques to create reinforcement learning agents, with techniques like passive reinforcement learning (Model-based, Model-free), active reinforcement learning (Exploration, Exploitation).
Learned to use bayesian networks and hidden Markov model to make inferences
Created a artificial intelligent pac-man agent that explored paths through the mazes, to both reach a particular location and to collect all food efficiently. Used DFS, BFS, UCS, varying the cost function, A* (with many admissible heuristics, and even good heuristics for sub optimal performance, but better speed).
Engineered a artificial intelligent pac-man agent, that completed the pacman game while avoiding the adversarial ghost. Agents included reflex agents, Minimax (with and without alpha-beta pruning), Expectimax (with different evaluation functions).
Built artificial intelligent agents to use Markov Decision Processes and reinforcement learning to solve various problems, like grid world, simulated robot controller (Crawler) and Pacman.
Developed artificial intelligent agents to hunt ghosts down in ghost busters, used bayes nets and factors to infer the location of the ghosts, with variable elimination.

C, Python

Academic Experience

Computer and Network Security

Toronto, ON

Studied Public and symmetric key algorithms and their application; key management and certification; authentication protocols; digital signatures and data integrity; secure network and application protocols; application, system and network attacks and defences; intrusion detection and prevention; social engineering attacks; risk assessment and management.
Worked with different public and symmetric key algorithms like Caesar Ciphers, Substitution Ciphers, Poly alphabetic Ciphers, One Time Pad Ciphers, Stream Ciphers (RC4, Salsa20/Chacha20), Block Ciphers (DES, AES), RSA, ECC. Also exploited different vulnerability like key reuse attacks, known plain text, etc.
Explored cryptographic hash functions and message authentication codes (MD5 SHA-1, etc), and exploited different vulnerability like hash length extensions. Also used GPG to encrypt and sign messages.
Hacked networks to conduct different types of attacks, like packet sniffing (with wireshark, and scapy python library), malicious gateway, APR spoofing, ICMP Ping flood, TCP-syc flooding, TCP connection reset, DNS cache poisoning, http sniffer, ssl striping, as well as doing general penetration testing (using nmap, openvas, metasploit).
Looked at rainbow tables to reverse hashed passwords.
Hacked systems using different attacks like buffer overflow (Stack Smashing Attack (Branching), Stack Smashing Attack (Shellcode), Adjacent Memory Shellcode), TOCTOU, hidden malware (malware inside a Debian package).
Hacked web application using various attacks like Incomplete Mediation, SQL injection (SQLi), Cross-Site Scripting (XSS), Cross-Site Request Forgery (CSRF).
Wrote a protocol that is similar to TLS version 1.3, that used the Diffie Hellman key exchange algorithm.
Examined different ways to protect against exploits, like using a nonce, Public key infrastructure, web of trust, signed certificates, firewalls, Vpns, TOR, salted hash password storage.

Theory

Academic Experience

Coding Theory and Cryptography

Toronto, ON

The main problems of coding theory and cryptography are defined. Classic linear and non-linear codes. Error correcting and decoding properties. Cryptanalysis of classical ciphers from substitution to DES and various public key systems [e.g. RSA] and discrete logarithm based systems. Needed mathematical results from number theory, finite fields, and complexity theory are stated.

Python, Git

Academic Experience

Engineering Large Software Systems

Toronto, ON

Explored the theory and practice of large-scale software system design, development, and deployment, covering project management, advanced UML, requirements engineering, verification and validation, software architecture, performance modeling and analysis, and formal methods in software engineering.
Contributed to an open-source Python repository called Langchain, where new tools were developed to enable AI agents to access information from Google services such as Google Jobs, Google Finance, Google Trends, and Google Lens by calling external APIs and parsing the data for the AI agent's consumption.
Designed and documented an architectural solution for a digital healthcare tracking system, beginning with identifying its functional and non-functional requirements, followed by designing a preliminary system using the C4 model. The design was then analyzed through a risk assessment based on the requirements, and iterative improvements were made to reach a final design.

Theory

Academic Experience

Algorithm Design and Analysis

Toronto, ON

Explored various algorithm design techniques including divide-and-conquer, greedy strategies, dynamic programming, linear programming, randomization, and others.
Studied greedy algorithms such as the interval scheduling problem, minimum lateness scheduling, Dijkstra's algorithm, and Huffman codes.
Learned divide-and-conquer algorithms including merge sort, binary search, Karatsuba's multiplication, Strassen's matrix multiplication, closest pair of points, and order statistics, along with their running time analysis.
Explored dynamic programming algorithms such as the longest increasing subsequence, weighted interval scheduling, optimal sequence alignment, Optimal Binary Search Tree, and 0-1 knapsack.
Studied different shortest path algorithms including Bellman-Ford, Floyd-Warshall, and Johnson's algorithm.
Worked with max flow/min cut algorithms (e.g., Ford-Fulkerson) and their applications like bipartite graph matching, minimum vertex covers in bipartite graphs, and finding the maximum cardinality set of edge-disjoint paths.
Solved problems using linear programming techniques such as the Diet problem, Profit maximization, max flow, min cost flow, and linear regression. Also examined integer linear programming problems like facility location.
Explored approximation algorithms for hard-to-solve problems like vertex cover, set cover, minimum makespan, k-centers, and the knapsack problem.

HTML5/CSS3, Javascript, React, Express, MongoDB, Docker, Web Sockets, Git

Academic Experience

Programming on the Web

Toronto, ON

Introduced to software development on the web, covering operational concepts of the internet and the web, static and dynamic client content, dynamically served content, n-tiered architectures, web development processes, and web security.
Learned and utilized JavaScript (including concepts like Asynchronism, Event Loop, and Web Workers) to develop dynamic HTML and CSS websites and applications.
Acquired skills in building web APIs following the REST framework, enabling data transfer between frontend and backend, including file handling.
Worked with cookies, sessions, and various web authentication methods (Local, Token Based, Third Party), and implemented security measures against common attacks such as Cryptographic Failure, Broken Access Control, Injections (SQL/XSS), and Security Misconfiguration (CSRF/CORS).
Explored different communication methods between applications, including long polling, short polling, web sockets, and WebRTC.
Deployed real applications to the internet using technologies such as Docker, VMs, domains, reverse proxies, certificates, web packing, HTTP/2, HTTP/3, progressive web apps, and CDNs.
Studied methods for internationalizing apps (i18n) with specific localization (L10n).
Explored web advertising, analytics, tracking, and fraud detection techniques.
Developed an online web gallery allowing users to upload image collections and comment on others' images, utilizing HTML5, CSS3, and JavaScript.
Created a drag and drop website builder using React and ExpressJS, enabling multiple users to collaborate on the same site, chat using web sockets, and share videos and audio with WebRTC.
Deployed the website on a Google Cloud virtual machine using Docker for frontend and backend images, with an Nginx reverse proxy for hosting both on the same machine, and automated the process using a shell script.

Theory

Academic Experience

Social Impact of Information technology

Toronto, ON

The trade-offs between benefits and risks to society of information systems, and related issues in ethics and public policy. Topics will include safety-critical software; invasion of privacy; computer-based crime; the social effects of an always-online life; and professional ethics in the software industry. There will be an emphasis on current events relating to these topics.

Java, MySQL

Academic Experience

Introduction to Databases

Toronto, ON

Introduced to database management systems, covering the relational data model, relational algebra, and the SQL query language for querying and updating databases, along with application programming with SQL.
Explored integrity constraints, normal forms, and database design principles, including elements of database system technology such as query processing and transaction management.
Studied the entity-relationship model/diagrams and different types of relationships like one-to-one, many-to-one, and many-to-many relationships.
Learned to convert entity-relationship diagrams into relational models, allowing for relational algebra operations and computation of functional dependencies, design anomalies, and normalization into Boyce-Codd Normal Form (BCNF) and Third Normal Form (3NF).
Worked with SQL to implement relational models into databases for querying and manipulation.
Developed a replica database of Airbnb in MySQL, enabling users to add listings with multiple amenities for any dates and allowing other users to rent out the listings, with the relation normalized into 3NF and accessible via Java.
Designed a mock Twitter database allowing users to create tweets and comments, like other users' tweets and comments, and retweet others' tweets.

Figma, Balsamiq Wireframes

Academic Experience

Human-Computer Interaction

Toronto, ON

Explored the field of Human-Computer Interaction (HCI), focusing on guidelines, principles, methodologies, and tools for analyzing, designing, and evaluating user interfaces.
Learned to design software with a primary emphasis on UI/UX, considering factors like universal usability, the 8 golden rules for interface design, and user-centered design principles.
Studied how to establish requirements using various data gathering methods such as interviews and surveys to understand and map user interactions, utilizing tools like Hierarchical Task Analysis (HTA) to make low-level designs with wireframing, creating interactive prototypes, and evaluating the design through testing.
Built an interactive prototype UI using Figma for a task management app allowing users to create groups and share tasks on the board.
Conducted user testing on the UI through surveys and semi-structured interviews to identify strengths and weaknesses, iterated on the design based on feedback to enhance usability and user experience.

React, MongoDB, ExpressJS, NodeJS, Jira

Academic Experience

Introduction to Software Engineering

Toronto, ON

Explored software development methodologies with a focus on agile methods suitable for rapidly moving projects, covering basic software development infrastructure, requirements elicitation and tracking, prototyping, project management, basic UML, software architecture, design patterns, and testing.
Studied the software development lifecycle and various models including waterfall, V-shape, and agile, with a detailed examination of scrum elements such as product backlog, sprint backlog, sprint planning, daily scrum, sprint retrospective, sprint review meeting, burnup and burndown charts, pair programming, and test-driven development.
Learned how to scope projects by creating user stories, use cases, personas, acceptance criteria, and estimating stories.
Explored REST API design and database types including SQL, NoSQL, and GraphQL.
Investigated different software architectures such as Multi-Tier architecture, Multi-Layer architecture, MVC, Microservices, Monolithic, and Event Driven, and their design in UML considering non-functional requirements like scalability, performance, and availability, using use case diagrams, sequence diagrams, activity diagrams, and state chart diagrams.
Studied design principles like SOLID and design patterns such as singleton, factory method, builder, and strategy design pattern.
Explored Git Flow including merging, rebasing, and PRs, and release management.
Learned about continuous integration and continuous deployment, utilizing Docker to componentize different aspects of the system.
Collaborated with a startup founder to build a MERN platform facilitating interaction between students and companies for internships and competitions.
Developed a short polling chat application within the platform for users/companies interaction.
Automated the deployment process using Git actions to build Docker images and push them to Docker Hub.

Python

Academic Experience

Introduction to Machine Learning and Data Mining

Toronto, ON

Explored various methods for automated learning of relationships from empirical data, including classification and regression techniques such as nearest neighbor methods, decision trees, linear and non-linear models, class-conditional models, neural networks, and Bayesian methods.
Investigated clustering algorithms and dimensionality reduction techniques, as well as model selection and the problems of overfitting and assessing accuracy, especially with large databases.
Studied linear regression in one dimension, multiple dimensions, and multiple output dimensions, as well as non-linear regression with polynomial and radial basis functions.
Explored the bias-variance trade-off and regularization to address overfitting and underfitting, compared generative vs. discriminative models.
Implemented clustering with k-means, hierarchical k-means, k-means++, product quantization, and Gaussian mixture models.
Explored classification techniques including regression, k-nearest neighbors, decision trees, class conditionals, naive Bayes, and logistic regression, along with testing different models with cross-validation.
Investigated AdaBoost with weak classifiers like decision stumps, Support Vector Machines with the Lagrangian and kernel trick, and Principal Component Analysis for dimensionality reduction.
Studied neural networks and the backpropagation algorithm.
Developed and compared models for university admission prediction using linear regression and k-means++, including clustering the data before applying linear regression.
Applied radial basis functions to restore corrupted images in a painter program and wrote a basic logistic regression script to classify objects as oranges based on width and height.
Implemented and evaluated classifiers for labeling news articles into five categories using Naive Bayes, Gaussian class conditional, and k-nearest neighbors classifiers.
Developed and evaluated an SVM classifier and an SVM classifier with PCA to predict whether the emotion associated with a human audio signal is positive or negative using Mel spectrogram and chromagram features.

Theory, Matlab

Academic Experience

Analysis of Numerical Algorithms for Computational Mathematics

Toronto, ON

Explored the efficiency, accuracy, and reliability of numerical algorithms for various models including least squares, non-linear equations, optimization, quadrature, and systems of ordinary differential equations.
Investigated methods for solving over and under-determined linear systems, including solving normal equations, QR factorization using Householder reflections, and Singular Value Decomposition.
Solved systems of non-linear equations by transforming root-finding problems into fixed-point problems, with a focus on Newton's Method and its efficiency analysis.
Examined various approximation and interpolation techniques, such as the Vandermonde method, Lagrange Basis (Lagrange Hermite Interpolation), Newton's polynomial for general interpolations, and piecewise polynomial interpolation. Analyzed the error in each interpolation method and methods to control it, including the use of Chebyshev points.
Analyzed different methods for numerical integration (quadrature), including standard forms, midpoint rule, trapezoidal rule, Simpson's rule, and composite rules, evaluating their precision and error characteristics.
Studied methods for solving Initial Value Problems for Ordinary Differential Equations, including Forward Euler's method and Backward Euler's method. Explored stability analysis using Gershgorin's Circle Theorem, assessing accuracy, stability, and region of stability.

Theory, Matlab

Academic Experience

Introduction to Numerical Algorithms for Computational Mathematics

Toronto, ON

Studied computational methods for problem-solving in linear algebra, non-linear equations, approximation, and integration.
Explored floating-point arithmetic, including concepts of rounding error, error propagation, conditioning, and stability of functions.
Examined techniques for solving linear systems of equations, such as LU factorization with row pivoting, and iterative improvement methods.
Investigated methods for solving non-linear equations, including approaches involving fixed-point problems, convergence analysis, and rate of convergence improvement using Newton’s method, secant method, bisection method, and hybrid methods.
Explored approximation techniques including interpolation methods such as Vandermonde method, Lagrange basis, Newton (Divide Difference) Basis, and Newton polynomial, along with error determination in polynomial interpolation.
Studied numerical integration (quadrature) and common rules such as the midpoint rule, trapezoidal rule, and Simpson's rule, along with their respective errors.

C, C++, Java, Python, Scheme, ML, Haskell, Prolog

Academic Experience

Principles of Programming Languages

Toronto, ON

Explored programming paradigms including procedural (e.g., C, Java, Python), functional (e.g., Scheme, ML, Haskell), and logic programming (e.g., Prolog).
Utilized higher-order functions such as map, filter, fold, and others in programming tasks.
Developed functional programs employing techniques like pattern matching, tail-recursion, list comprehension, lazy evaluation, and closures.
Gained practical experience in various programming paradigms through hands-on work and study.

Theory

Academic Experience

Computability and Computational Complexity

Toronto, ON

Introduction to the theory of computability: Turing machines, Church's thesis, computable and non-computable functions, recursive and recursively enumerable sets, reducibility. Introduction to complexity theory: models of computation, P, NP, polynomial time reducibility, NP-completeness, further topics in complexity theory.

Academic Experience

Operating Systems

Toronto, ON

Studied principles of operating systems, including its roles as a control program and resource allocator, and concepts such as processes, concurrency problems, synchronization, mutual exclusion, and deadlock.
Enhanced the basic Pintos OS by incorporating features like context switching between threads, support for user programs, virtual memory management, and implementation of a file system.
Improved Pintos to efficiently handle multithreading by managing interrupts, implementing context switching with a Multilevel Feedback Queue scheduler, and ensuring proper synchronization using locks and semaphores to avoid race conditions.
Extended Pintos to support user programs by implementing system calls, managing the process control block, and separating user threads from kernel threads.
Implemented virtual memory support in Pintos using paging with swapping, memory management with the buddy system, and page swapping with a second chance algorithm.
Enhanced Pintos with a more efficient file system design, incorporating features like inodes, multi-level index files, directories, and a buffer cache for improved performance.
Gained knowledge of virtual machines, Docker containers, distributed systems, and remote procedure calls through study and practical experience.

HTML5/CSS3, Javascript, Flask, SQLite, Git

Academic Experience

Introduction to Databases and Web Applications

Toronto, ON

Developed a web platform facilitating interaction between students and teachers, enabling teachers to post lecture material, assignments, and grades, while allowing students to submit assignments and engage in discussions.
Designed and implemented a responsive website using HTML/CSS for the frontend and Python Flask framework with SQLite for the backend.
Utilized CSS flexbox to implement various UI features, ensuring responsiveness across different devices.
Acquired proficiency in basic relational algebra and SQL for database management.
Employed GitHub as a version control and collaboration tool to manage project changes and facilitate teamwork.

Academic Experience

Design and Analysis of Data Structures

Toronto, ON

Gained understanding of asymptotic complexity through big O, big Omega, and big Theta notations, along with amortized sequence complexity
Explored advanced data structures including AVL trees, priority queues using Heaps, dynamic arrays, Disjoint Sets, Fibonacci Heaps, Hashing, B-trees, and Bloom Filters
Learned advanced graph algorithms and their complexities, such as BFS, DFS, Kruskal's algorithm, Prim's algorithm, Dijkstra's algorithm, and Kosaraju's Strongly Connected Components
Designed, analyzed, implemented, and compared efficient data structures for common abstract data types like; priority queues: Heaps and mergeable heaps; Dictionaries: Balanced binary search trees, B-trees, hashing; Amortization: Data structures for managing dynamic tables and disjoint sets; Data structures for representing graphs and performing graph searches.

Assembly

Academic Experience

Computer Organization

Toronto, ON

Learned principles of the design and operation of digital computers. Binary data representation and manipulation, Boolean logic, components of computer systems, memory technology, peripherals, structure of a CPU, assembly languages, instruction execution, and addressing techniques. There are a number of laboratory periods in which we conducted experiments with digital logic circuits.

Academic Experience

Software Tools and Systems Programming

Toronto, ON

Acquired software techniques in a Unix-style environment, utilizing scripting languages and the C programming language.
Covered core topics such as creating and using software tools, pipes and filters, file processing, shell programming, processes and multithreading, system calls, signals, and basic network programming with sockets.
Developed a machine learning handwritten number classifier using kNN with a 97% accuracy rate.
Enhanced the machine learning handwritten number classifier by transitioning from kNN to a decision tree, reducing running time from 45 minutes to 12 minutes.
Implemented multiprocessing to accelerate the classification of 10,000 items, reducing processing time from 45 minutes to 5 minutes by distributing work across multiple processes and communicating via pipes.
Utilized makefiles for efficient building and compiling of programs.
Employed signals to interrupt programs and sockets to establish two-way communication between a simple server and client.

Theory

Academic Experience

Introduction to the Theory of Computation

Toronto, ON

Studied mathematical, mathematical logic, correctness proofs for iterative and recursive algorithms, solutions of linear and divide-and-conquer recurrences, introduction to automata and formal languages.
Learned about finite state automata, regular expressions, context-free grammars, and pushdown automata.

Java

Academic Experience

Software Design

Toronto, ON

Studied software design and development principles, methods, and tools using a statically typed object-oriented language, Java.
Covered topics including version control, build management, unit testing, refactoring, object-oriented design and development, design patterns, and advanced IDE usage.
Developed a mock (Linux) Shell in Java, employing various features of object-oriented programming.
Created an abstract command class to facilitate easy development and extension, along with a mock filesystem using a tree structure.
Implemented a text-based save file format to preserve the current state of the shell for future loading.
Engaged in a 2-week agile development cycle for rapid development and testing.
Conducted testing of classes using JUnit test suites and mock classes.
Utilized CRC cards for brainstorming the design of object-oriented software.
Acquired knowledge of various design patterns and their implementation, including Singleton, Builder, Decorator, Iterator, Observer, and Dependency Injection.
Explored different software development processes such as Agile, Incremental, and Waterfall.

Academic Experience

Introduction to Computer Science II

Toronto, ON

Studied abstract data types and data structures, including linked data structures, object-oriented programming, encapsulation, recursion, and information-hiding.
Examined testing, specifications, and efficiency analysis of programs.
Developed a naïve database using C, employing linked lists and structs to manage movie information and reviews.
Created a music sequencer with functionalities for storing, organizing, and manipulating musical notes, utilizing a binary search tree and supporting music harmonizing.
Devised an ingredients swapper algorithm utilizing k-nearest neighbors and a graph-based ingredient network, emphasizing graph concepts and recursion.
Implemented basic pathfinding on a graph using breadth-first search and depth-first search algorithms.
Designed a Caesar cipher tool for message encryption and decryption, along with a method to break a Caesar cipher.
Developed a tool simulating tissue samples with various cell types and bacteria using defined functions and data structures.
Implemented both good and bad versions of a consulate line up, one utilizing a queue and the other a stack built from scratch.
Designed a sudoku solver using recursion capable of solving all solvable 9 by 9 sudoku problems in less than 10ms.
Constructed various data structures (Lists, Binary Trees, Graphs, etc.) as projects in C
Explored memory models on a low level and their utilization by different data types
Analyzed program efficiency and big O notation by studying various sorting algorithms and data structures.
Examined principles of designing and building good software, focusing on properties such as modularity, reusability, extendibility, maintainability, correctness, efficiency, openness, privacy, and security.

Python

Academic Experience

Introduction to Computer Science I

Toronto, ON

Acquired foundational knowledge in programming including, elementary data types, statements, control flow, functions, classes, objects, and methods.
Familiarity with lists, searching, sorting, and basic complexity.
Developed a tweet parsing library to validate tweet content.
Designed an elevation map library with functionalities such as peak detection and map resolution reduction.
Engineered a club recommendation library utilizing databases of people, their friends, and their club affiliations.

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