Working with embedded systems for the first time, I led a team of 7 to design, implement and test software for the MUR M26 race car. I was responsible for the ECU logic, as well as the final integration of all components into the monorepo.
An ML based basketball outcome predictor that leverages advanced metrics to forecast NBA game results and identify betting value by comparing fair and market odds.
A native iOS application focused on simple UI for tracking user's gym progress. Designed with experienced lifters in mind, the app features minimalist UI and a depth of analysis to help users track their progress and achieve their fitness goals.
A full-stack web app for CISSA (Computing and Information Systems Student Association) to display events, engage the community and offer job opportunities.
Implemented a Deep Q-Network (DQN) reinforcement learning agent trained to achieve optimal pathing and maximum score in the classic game Snake, demonstrating strong foundational knowledge of RL concepts.
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