I'm Pranjol, a Computer Engineering student at the University of Waterloo with experience spanning full-stack development, AI/ML, and embedded systems.
I am currently working as a Software Engineer Intern at Ford Motor Company, where I am working on Vehicle Infotainment Systems. I've also built AI-powered features used by 10k+ users at Poket Inc. and trained ML models for cybersecurity research on healthcare IoT devices at Queen's University
When I'm not coding, you'll find me playing sports, tinkering on side projects, and visiting new places.
Claude CodeCursorRAGMCPAgent Orchestrationpandasscikit-learnPyTorchOpenCVNumPyMatplotlib
Waterloo, ON, Canada
work history
Experience
Incoming Fall 2026 on the Media Team working on Vehicle Infotainment Systems.
things i built
Projects
IoT / Hardware
Clinical Delirium Monitor
An IoT hospital delirium-prevention monitor processing 120 sensor readings/min across light, sound, and hydration levels.
Engineered an IoT hospital delirium-prevention monitor (Arduino → Python) processing 120 sensor readings/min across light, sound, and hydration levels, replacing manual nurse checks with automated bluetooth alerting. Architected a patient risk-scoring engine with SQLite logging and a live matplotlib dashboard, delivering real-time clinical alerts at sub 400 ms latency, supported with 23 pytest unit tests.
Hack the North Winner — A real-time driver safety monitoring system detecting poor posture and drowsiness via computer vision.
Developed a real-time driver safety monitoring system to detect poor posture and drowsiness via computer vision. Implemented Dlib's 68-point facial landmark model with a tuned Eye Aspect Ratio algorithm, achieving 92% drowsiness classification precision with sub 200 ms verbal alert latency.
QHacks Finalist — A voice assistant with a speech recognition pipeline supporting real-time task execution across API, browser automation, and local data layers.
Created a voice assistant in Python with a speech recognition pipeline, supporting real-time task execution across API, browser automation, and local data layers. Implemented an OAuth 2.0 API layer with SQLite caching, achieving 70% cache hit rate on repeated queries.
A 3D kart racing game built in Unity, deployed as WebGL on AWS S3, reaching 100+ players within the community.
Architected and shipped a 3D kart racing game in Unity, deploying the WebGL build to AWS S3. Engineered modular C# systems for AI opponents, game state management, and event-driven live UI updates.
