I’m a Computer Engineering student at Queen’s University with a strong foundation in hardware, embedded systems, and systems design. Through research, industry, and team projects, I’ve gained hands-on experience building solutions that range from embedded systems to data-driven applications. I’m motivated by solving complex technical problems and creating tools that have a tangible real-world impact on those around me!
Currently, an Embedded Systems engineer @ Queen's AutoDrive, a GM sponsored design team. (1/2 in Canada)
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Served as Program Facilitator for SureStart AI, managing mentors and running AI education sessions for middle school students at Singapore’s XCL World Academy.
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Mentored students and ran programs at Branksome Hall, one of Canada’s top private (and boarding!) schools, teaching applied AI and guiding hands-on projects.
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Contributed to my university’s Hyperloop design team, designing the battery management system schematic in Altium with the BQ76952 IC.
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Built projects ranging from:
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(In-progress) Stock Market Prediction & Recommendation Engine – C++ data pipeline with ML inference to generate predictions and trade recommendations.
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(In-progress) Smart Robotic Arm – Embedded + PID-controlled robotic arm with real-time feedback, safety logic, and communication protocols.
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Pic2Plate – Computer vision system on Raspberry Pi 5 that classifies ingredients and suggests recipes via a web app.
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Facebell (Facial Recognition Doorbell) – IoT doorbell that identifies known visitors, flags unknowns, and sends real-time sms alerts.
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