I'm a second-year Electrical Engineering student at the University of Waterloo with a passion for building systems that solve meaningful problems — from embedded hardware to AI-driven decision-making.
Currently working as a Research Assistant at the National Research Council, where I engineer airflow testing systems and develop control software. I also lead a 12-member AI research team at Wat.AI, developing reinforcement learning agents for renewable energy optimization in Sub-Saharan Africa.
From FPGA traffic control systems to PID pressure control with LabVIEW, I love bridging the gap between theoretical knowledge and practical impact. Whether it's teaching 400+ students C++, scraping parliamentary data for transparency, or designing PCBs for solar cars, I'm driven by the belief that technology should empower and create positive change.
Technical Project Manager • Wat.AI Research
Leading development of reinforcement learning agents for autonomous renewable energy optimization in rural Sub-Saharan Africa. Integrated NASA POWER API for real-world weather simulation.
Hardware + Software Integration
Intelligent traffic light control system designed in VHDL for Altera Max 10 FPGA. Features Mealy state machine with pedestrian push-button integration.
Research Assistant • Control Systems
Engineered plenum chamber experiment with custom instrumentation and PID pressure control system in LabVIEW. Contributing to new CSA airflow standards.
ML Engineer • Civic Technology
Automated legislative bill analysis system extracting metadata and voting patterns from Canadian Parliament. Enabled AI training datasets for transparency research.
Ready to discuss internships, research opportunities, or build something impactful together?
Direct communication for opportunities
Professional network and updates
Open source projects and code
Detailed experience and skills