Constructed the front & back-ends of development tools for Facebook’s repositories.
Used LLVM and Clang to write code optimization tools that are interacted with using a React UI.
Improved code architecture of Aiden, a reinforcement learning algorithm which has traded over $100 billion in securities, so that the architecture is cleaner, more computationally efficient and scalable.
Created a transfer learning tool which was used to reduce the training time of a new trading algorithm from several months to 2 weeks while costing less money to train.
Built and ran experiments for various machine learning models to collect and report their performance.
Improved trading performance by creating a new rewards system for the RL model to learn from.
Built a machine learning API using AWS services such as EC2, ECS, SQS, DynamoDB, Amplify and CodePipeline.
Wrote an image annotation tool using React, Javascript and Auth0.
Led a team of 10 annotators to double a dataset’s size to 10,000 images.
Redesigned a natural language processing model for improved inference speed and 4% higher accuracy.
Graduating with Bachelor's in May 2023
Specializing in Artificial Intelligence, Minoring in Statistics, Economics
GPA: 3.79/4.0, Honors: Dean’s List (6 semesters)
Relevant Courses: Data Structures, Systems Programming, Software Design, Enriched Theory of Computation,
Mathematical Reasoning for Computer Science, Calculus I & II, Statistics for Computer Science, Linear
Algebra
A social network that allows users to scan creative works (food, figurines, lego), which can then be experienced by followers in alternate reality. Won 1st place and side-challenges at UofT Hacks IX.
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A Kickstarter-funded retro-styled 3D game built with a custom game engine. Inspired by Portal and Undertale. Features rhythmic battles and puzzles.
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Detects atopic eczema & acne vulgaris in newborn children using machine learning. Device was 3D printed and uses a Raspberry Pi. Awarded "Top 5 Projects" at NewHacks 2020.
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Steam workshop mods for Sid Meier's Civilization V, one of which was in the top 3 mods of the week for several weeks.
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A game console with a monochrome display, buttons and speakers. Drivers and accompanying dinosaur game were written in C.
A 16-bit computer using a W65C02S microprocessor, 8 KB EEPROM, 32KB RAM, NAND Gate chip, Hex Inverter and 3-8 decoder.
FRC Team 854's robots for the 2017 & 2018 FIRST Robotics Competitions. Included proportional integral derivative controllers, custom encoders, input filters and autonomous robot modes. Won the 2017 Fall Fiesta in Toronto.
