Master of CS, Machine Learning (In Progress), Georgia Tech → ML for Trading, AI for Robotics, Financial Modeling, NLP
Bachelor of CS + Business, University of British Columbia → Applied ML, AI II, AI, Databases, Algorithms, SWE, ML (Coursera)
Stripe, SWE → Reusable ML libraries and pre-built models for rapid prototyping, experiementation, and productionization
Meta, SWE → Optimized ad auction bids with ordinal classification/regression models, multi-task deep learning, pipelines
Wealthsimple, SWE → ML platform, LLMs, RAG/GenAI, vector similarity search, NLP chatbot, project management
Shopify, Data → Full-stack data science including: dashboarding, product analytics, ETL pipelines
Orbis Investments, SWE → Full-stack web dev including: DB, microservices, messaging, API development, front-end
Canalyst Financial Modeling, SWE → Quantemental equity research tooling/dashboards, data manipulation, parse trees
Tech Bytes Foundation, Data/AI/ML Lead → Created projects in: data analysis, ML algorithms, reinforcement learning
👨🏫 UBC CS, Teaching Assistant → Led labs on: data analysis, algorithms, graphs, trees, search, recursion, functional programming
🌱 UBC Launch Pad, Android Developer → Worked with 5 other developers to build an AR teaching aid for soil science courses
🧙♂️ Music Merlin Classifier, Python/Scikit-learn → Spotify genre classification using Logistic, Random Forest, LGBM models
💹 Stock Analysis, Python/Pandas/Matplotlib → Dashboard to calculate/visualize technical indicators (MA, Bollinger Bands, RSI)
🧩 Sudoku Solver, C++ → Solves 9x9 Sudoku puzzles using a backtracking depth-first search over a 2D array
📉 COVID-19 Dashboard, Python/Flask/Heroku → Interactive Bokeh/Flask dashboard to visualize pandemic data by province
🎮 Stacks, Python/Pygame → Block-stacking game where the goal is to stack the moving blocks as high as possible
👾 Space Invaders, Python/Pygame → Object-oriented implementation of the classic space invaders game
💳 Credit Decisioning Model, Python/Scikit-learn → Predicts whether a borrower will default using K Nearest Neighbors
Python (Pandas, NumPy, PyTorch, Sklearn, Matplotlib, Wandb, MLflow, Spark, FastAPI, Flask, NLTK), R, SQL, Orchestrators (Airflow, Flyte), AWS (S3, ElasticSearch), NVIDIA Triton, LLMs (ChatGPT, LLaMA, Cohere, Langchain, Vector DBs), C#/.NET (LINQ, Npgsql, Regex), Dashboards (Streamlit, Plotly, Mode, Tableau, Preset/Superset), Java (JDBC, JUnit, Swing), C++, JavaScript/TypeScript (Node, Express, React, Jest), RabbitMQ, Docker, Bash, Git, Jira, Notion