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Research Intern @ MILA - Quebec AI Institute
May 2025 - August 2025
- Working on Deep Reinforcement Learning for materials discovery at the Chandar Lab.
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Project Intern @ Borealis AI
September 2024 - December 2024
- Developed a slapshot classification pipline using pose estimation as a part of the Let's Solve It program.
- Responsibilities:
- - Collected and processed a custom public database of slapshots from the University of Victoria Hockey team.
- - Fine tuned a Google Mediapipe pose estimation model for use on slapshot videos.
- - Engineered biomechanical features from time series coordinates of body positions.
- - Developed a number of baseline Machine Learning models for shot classification with our engineered features.
- - Presented our findings and methodology to an audience of ~50 researchers at RBC.
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Project Intern @ MILA - Quebec AI Institute
June 2024 - August 2024
- As a part of the Indigenous Pathfinders in AI Program I developed a project proposal for a Reinforcement Learning based simulation modeling long term care center distribution for canadian reservations. I also participated in AI workshops and seminars on technical concepts, ethics, policy, and Indigenous AI.
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Research Intern @ University of Alberta
September 2023 - December 2023
- Developed a python app to label tile-based video games for use in procedural content generation (PCG) as a part of the GRAIL lab.
- Responsibilities:
- - Designed and implemented a user friendly UI for efficient data labelling.
- - Tested our labels on baseline PCG models.
- - Integrated sprite recognition and auto labelling into UI.
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Project Intern @ McGill University
June 2023 - August 2023
- Developed a python-based brain visualization app with the MICA Neuroscience Lab as a part of the IMPRESS Program.
- Responsibilities:
- - Utilized MRI data with the Brainspace library.
- - Data Visualization with 3D model design.
- - Participate in research, cultural, and leadership workshops.
