New-grad Software Engineer based in Vancouver, BC.
I build backend systems, ML-powered services, and full-stack applications with Python, FastAPI, React, and Docker.
- Languages: Python, JavaScript/TypeScript
- Backend: FastAPI, Node.js, PostgreSQL, Redis
- ML/Data: scikit-learn, XGBoost, PyTorch, SHAP
- Infrastructure: Docker, GitHub Actions, AWS/Azure
ML-powered stock direction prediction platform with backtesting and explainability. Full-stack: FastAPI backend + React dashboard, with model registry, SHAP explanations, and leakage-safe evaluation.
Desktop tool for viewing historical U.S. stock market caps by GICS sector. Supports any date, Top 100 per sector, CSV export. Built with Python, PyQt6, and yfinance.
Production-oriented FastAPI service for ML-powered semantic search using pgvector embeddings, Supabase/PostgreSQL, and JWT auth.
- Email: zjg0907008@gmail.com
- LinkedIn: linkedin.com/in/jigang-zhou-325103335