Projects

FAIR Football AI

Multi-agent AI for football predictions, scouting, and analytics across 30+ leagues.

Python · FastAPI · Node.js · MongoDB · Redis · Google Cloud Platform

Problem

Football fans and analysts need instant, accurate answers about live stats and predictions — a single LLM can't reliably cover live data, historical records, and document knowledge at once.

Solution

Led creation of a multi-agent LangGraph chatbot with intelligent routing across web search, a SQL agent, RAG search, and agent handoffs — backed by a FastAPI/Node.js microservices backend on Google Cloud.

Results

Real-time predictions, scouting, and analytics across 30+ leagues, powered by 10+ automated data pipelines processing gigabytes of data.

Highlights

  • Multi-agent routing: web search, SQL agent, RAG search, handoffs
  • Microservices backend with FastAPI, Node.js, MongoDB, and Redis
  • 10+ GCP data pipelines (Cloud Run, Batch Jobs, Cloud Scheduler)
  • Flask and React dashboards for real-time pipeline insights

Tech Stack