🎓 Computer Engineering Graduate from uOttawa
🚗 Passionate about Automotive Systems, Robotics, and Embedded Technologies
💰 Discovering Quantitative Trading and Artificial Intelligence
🌱 Currently seeking internships or full-time roles in automotive
🎧 Huge Nas fan! “The World Is Yours” stays on repeat!!
⚡ EV Power Management Research
Developed adaptive energy management controllers for electric vehicles using MATLAB, Simulink, and CarSim to optimize power consumption under varying and uncertain road conditions. Implemented advanced control strategies such as Linear Quadratic Regulator (LQR) to improve traction, stability, and energy efficiency.
🖥 MATLAB, Simulink, Control Theory
🚁 TAILS System
Designed, coordinated and implemented the embedded firmware for the Tactical Aerial Insight and Localization Suite (TAILS) Point-of-Interest detection system, enabling real-time drone telemetry, GPS tracking, and AI-powered object detection using a Heltec WiFi LoRa 32 board. Developed reliable LoRa communication protocols and sensor interfacing for autonomous aerial surveillance applications.
🖥 C++, Arduino, ESP32, LoRa, GPS, Artificial Intelligence
📊 Onyx Trading Engine
A modular and extensible trading strategy platform supporting live trading (Interactive Brokers) and backtesting (Yahoo Finance & custom adapters). Built with clean, scalable design patterns (ports & adapters) and a robust, thread-safe architecture. Includes candlestick chart visualizations with buy/sell markers for strategy evaluation.
🖥 Python, Interactive Brokers API, Quantitative Finance, Backtesting
📈 Unsupervised Stock Clustering and Classification
Built a full data pipeline for clustering S&P 500 companies based on financial attributes using k-Means. Combined Yahoo Finance scraping, data validation, and dimensionality reduction to create interpretable clusters. Trained a lightweight supervised model to predict cluster membership of unseen firms with 92% accuracy.
🖥 Python, Scikit-Learn, Machine Learning, Quantitative Trading