- UBC Computer Science + Statistics.
- Full ride scholarship recipient.
- Passionate about robotics, diffusion models, and reinforcement learning.
- Robotics: ROS 2
- Math: Fundamental understanding of probability theory and statistics, matrix algebra, multivariable calculus
- General ML: NumPy, Pandas, scikit-learn, LightGBM, XGBoost, PyTorch
- Computer Vision: Ultralytics, OpenCV, scikit-image, torchvision, PIL
- NLP: HuggingFace Transformers, spaCy, NLTK, fastText
- CPSC 110: Computation, Programs, and Programming
- CPSC 121: Models of Computation
- CPSC 210: Software Construction
- MATH 221: Matrix Algebra
- STAT 200: Elementary Statistics for Applications
- DSCI 100: Introduction to Data Science