👩💻 Software Engineering (B.Eng.) – Third Year Student
🎓 B.Sc. & M.Sc.A. in Physiotherapy
I build AI-powered systems, biomechanical simulations, and human-centered software that bridge engineering and real-world impact.
My background in physiotherapy, biomechanics, and software engineering allows me to approach problems from both a computational and human perspective, designing systems that are technically robust and biologically informed.
🥇 Hack McWics 2026 Winner – Best Use of Gemini API
🎮 McGameJam 2026 Developer
🦾 Head of Projects – McGill Biomechanics Team
🤖 Reinforcement Learning & Musculoskeletal Simulation Research
- Programming & Data: Python, Java, Typescript, C, SQL, Bash
- AI, Machine Learning & RL: PyTorch, Stable-Baselines3, MuJoCo, MyoSuite
- Web & Frontend: React, Typescript, HTML/CSS, JavaScript
- Tools: Git, VS Code, Unity
Winner – Best Use of Gemini API (Hack McWics 2026)
🔗 Repository: https://github.com/olibreadstick/UniLinks
UniLinks is an AI-powered web application designed to foster community, friendship, and academic collaboration among students.
Built under 24 hours with React + TypeScript and integrated with Gemini API, UniLinks features:
- Intelligent student matching based on shared interests & courses
- Personalized AI-powered event and club recommendations
- AI Social Coach for practicing networking and presentations
- LLM-powered conversation simulation and feedback
This project won Best Use of Gemini API at Hack McWics 2026.
🔗 Play the game: https://moch727.itch.io/hell-hunt
🔗 Repository: https://github.com/Dynamo8m/McGameJam2026
A fast-paced action game built during McGameJam 2026 under 48-hour constraints.
Contributed to gameplay mechanics, real-time interaction systems, and core game logic while collaborating in a rapid development environment.
🔗 Repository: https://github.com/olibreadstick/myosuite
Developed a musculoskeletal human + wheelchair model in MuJoCo & MyoSuite for reinforcement learning research.
Integrated custom reward functions and trajectory tracking for hand–wheel interactions.
🔗 Repository: https://github.com/McGill-Biomechanics Head of Projects - Tremor Suppression Exoskeleton – McGill Biomechanics Team
Leading development of a robotic exoskeleton designed to detect and reduce upper-limb tremors through biomechanical feedback and control algorithms.
Coordinating a multidisciplinary team to design, simulate, and test motion-control systems Led development of open-source biomechanics tools and simulations as part of the McGill Biomechanics Team.
- Built Python and MATLAB pipelines for motion capture and biomechanics data processing
- Coordinated a multidisciplinary team as Head of Projects, ensuring quality, reproducibility, and impact of shared repositories
- Artificial Intelligence & Reinforcement Learning
- Biomechanics & Human–Machine Systems
- Control Systems & Robotics
- Full-Stack Web Development
- Algorithm Design & Competitive Programming