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Chinagolum Adigwe

@chinagolumadigwe

Founder building Millennium Holdings’ litigation finance platform, with real-time case management, portfolio analytics, and AI-assisted underwriting.

United States

Message

At Millennium Holdings, I’m building a litigation finance platform with role-based interfaces for lenders, attorneys, and LPs. It includes real-time case management and portfolio analytics, including comparable case search and quarterly mark-to-market valuation.

I integrated Llama 3.3 70B via Groq into underwriting to classify court filings and refine risk and win-probability scores. I also deployed the FastAPI backend to Google Cloud Run and implemented infrastructure security measures.

At FactSet Research Systems, I integrated a GenAI-powered chatbot into a web dashboard used by 200,000+ clients and modernized internal tools, increasing build efficiency by about 30%. I also built formula-risk tools and dashboards, and developed a Python scraper and Twitter bot for Pitchfork album data.

Experience

Work history, roles, and key accomplishments

Current

Founder

Current

Millennium Holdings

Mar 2026 - Present (7 months)

Building a full-stack litigation finance platform with role-based interfaces for lenders, attorneys, and LPs, featuring real-time case management and portfolio analytics. Integrated LLM analysis into underwriting and deployed the FastAPI backend to Google Cloud Run with Docker and Cloud Build.

fastAPI Docker Google Cloud Run Cloud Build LLM LLaMA 3.3 70B GROQ CourtListener SSL TLS Secrets Management Least Privilege

Full-Stack Software Engineer

FactSet Research Systems

Jul 2021 - Apr 2025 (3 years 9 months)

Integrated GenAI-powered chatbot into team's web dashboard, enhancing user insights for 200,000+ clients. Built and scaled new Workstation features, modernized internal utility tools, and automated CI/CD pipelines using GitHub Actions and Docker.

GenAI Chatbot Web Dashboard Vue.Js Webpack Vite GitHub Actions Docker Heroku Fortify Security Review CI CD

Software Engineer Intern

FactSet Research Systems

May 2020 - Aug 2020 (3 months)

Built Python tool to audit proprietary formula reliability across FactSet's platform and Excel plugins, computing risk scores based on sub-formula dependency chains. Implemented topological sort to map formula dependency graphs and built Vue.js/Highcharts dashboard to visualize formula risk scores.

Python SQL Server Vue.Js HighCharts Topological Sorting Risk Scoring