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John Chen
Junior Full-Stack & Data Scientist specializing in ML/NLP and analytics products
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About
Built and deployed profitprops.io, a sports betting player-props prediction product using ML/AI. Implemented backend APIs with FastAPI/Express.js and Supabase, trained models on AWS GPU (P3) using Docker + RAPIDS, and set up CI/CD with GitHub Actions while working around cost constraints and data-collection hurdles (EC2 proxy rotation/rate limits).
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Key Strengths
- Built and shipped an ML-driven sports props product (profitprops.io) to production
- Backend API integration across FastAPI/Express.js with Supabase and a JavaScript frontend
- Resource-conscious CI/CD approach using GitHub Actions with manual GPU/Docker validation due to cost constraints
- GPU-accelerated model training using Docker + RAPIDS on AWS P3 instances
- Designed data ingestion/storage using AWS Lambda and S3; handled API blocking via EC2 + proxy rotation and rate limits
- Applies GitOps-style workflows with PR-based changes, automated tests, and rollback practices
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