I'm currently in my 2B term of Computer Engineering at the University of Waterloo.
I'm working as an Undergradudate Research Assistant (URA) at the Vision and Image Processing Lab under the supervision of Dr. Mehrnaz Fani.
I'm also a Software Lead at UW Reality Labs, where we're currently building a VR-controlled humanoid robot in collaboration with WATonomous!
When I'm not coding, you can find me listening or playing music, cooking up a storm, or thrifting for clothes!
A 3D spatial audio navigation system for the visually impaired. The system uses a Raspberry Pi as the controller, and YOLOv11 for object detection and DepthAnythingV2 for monocular depth estimation. The system maps detected objects to 3D spatial audio sound cues, creating an immersive and intuitive user experience.
Python 
PyTorch 
Raspberry Pi 
QNX 
C++ 
OpenCV 
A web app that transcribes sheet music from audio. It uses Music.ai's API to transcribe the audio and a custom midi generation algorithmto generate sheet music.
Python 
JavaScript 
Flask 
React 
Music.ai 
OpenAI 
TailwindCSS 
A web app that visualizes user's Spotify listening history in an interactive timeline format.
Python JavaScript Flask React 
MongoDB 
AWS Lambda TailwindCSS 
A real-time sign language translator that uses a custom dataset of 3000+ images to recognize 30+ static symbols and dynamic gestures.
Python OpenCV 
Scikit-Learn No projects found matching your selected tags.
Research Assistant
May 2025 - Present 
Waterloo, ON 
Incoming May 2025 
Software Lead
May 2025 - Present Waterloo, ON Incoming May 2025 
Python 
PyTorch 
C++ 
Unity 
Meta SDK 
Software Pipelines Engineer
January 2025 - April 2025 Ottawa, ON Migrated hardware-in-the-loop (HIL) tests to a virtualized environment using QEMU, QNX, and ARM Cortex-A processors, reducing test execution time by 80% and eliminating dependency on physical automotive hardware Strategically integrated automated static analysis testing and virtualized HIL environments into the CI/CD pipeline, resulting in a 60% reduction in pre-release defects and accelerating time-to-market by 25% Developed and implemented automated tests for internal static code analysis libraries, including Polyspace, Watchdog, MATLAB, and Ceedling, increasing code coverage from 67% to 95% and improving software reliability Python C++ 
QEMU 
QNX 
GitHub Actions Machine Learning Engineer
September 2024 - April 2025 Waterloo, ON Developed and trained deep learning models for hand gesture recognition with over 98% accuracy, enabling seamless integration of advanced real-time gesture controls into Unity projects beyond Meta SDK limitations Designed custom neural network architectures for single and dual-hand gesture recognition, incorporating spatial relationships like inter-hand distance and relative rotation, achieving 97% accuracy in classifying dual-hand gestures Python PyTorch Unity Meta SDK Software Engineer
May 2024 - August 2024 Ottawa, ON Engineered a responsive React web app to automate vehicle software release creation, slashing developer time on these tasks by 85% and significantly increasing the CI/CD workflow efficiency across vehicle platforms Developed Python scripts to automate Jira ticket creation for vehicle software test builds, reducing processing time by 80% and accelerating the release cycle by 30% for faster time-to-market for critical software updates Python 
React 
TypeScript 
Computer Vision Engineer
August 2022 - August 2023 Ottawa, ON Developed an advanced OpenCV robot vision system, applying pose estimation to improve depth perception accuracy by 80% and enabling real-time tracking of 8 unique objects in dynamic competition environments Optimized the vision system to process 30 frames per second on embedded hardware, increasing the robot's overall execution accuracy by 60% and scoring capabilities by 75% during competitions Python 
OpenCV 