~/projects/finsight-ai

FinSight AI

WIP AI/ML 2025
  • Next.js
  • FastAPI
  • LangGraph
  • Python
  • PostgreSQL
  • TimescaleDB
  • Redis
  • Docker
Illustration of FinSight AI: candlestick market chart beside an LLM orchestrator coordinating technical, fundamental, sentiment, macro, and event agents

A full-stack financial intelligence platform that deploys specialized AI agents to analyze global markets in parallel. Using LangGraph orchestration, it correlates cross-market relationships, detects regime changes, and links financial patterns to real-world events. Built on a Next.js 14 frontend and a FastAPI backend with PostgreSQL/TimescaleDB, Celery, and Redis; actively developed.

Highlights

  • Multi-agent LangGraph orchestration running four specialized analyses (technical, fundamental, sentiment, macro) in parallel
  • Global coverage across U.S., Canada, Japan, and Europe with GICS sector taxonomy and regime-change detection
  • Full-stack architecture: Next.js 14 + Plotly/Recharts UI, FastAPI backend, PostgreSQL/TimescaleDB, Celery, Redis
  • Real-time data from five financial APIs with cross-market correlation and event-intelligence matching
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Get in touch

I'm looking for software engineering, AI/ML, and data science internships, as well as research opportunities — and I'm always happy to talk shop. The fastest way to reach me is email.

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