Principal Data Scientist for Cybersecurity & Enterprise Technology at MassMutual and a PhD computer scientist. I built the company's first in-house cybersecurity ML models, and I'm now leading its move to agentic AI: modernizing security operations and the SDLC with agentic workflows to defend the enterprise at machine speed.
I like taking greenfield data science from idea to production, and I care more about people and process than about tools, which is usually what decides whether an AI project actually lands.
What I'm into lately: agentic & multi-agent systems, LLM evaluation, local/ open-weight inference, compilers, and self-hosted infrastructure.
A few personal projects, most of my work these days is proprietary:
- 🌐 johnhringiv.com — my personal site: PHP, vanilla modern CSS, self-hosted in Docker behind HAProxy + Cloudflare
- 🦀 NCC-Rust — "Not Completely C," a C compiler in Rust that emits x86-64 directly (lexer through codegen, no external assembler)
- ⛵ gotflashes — web app for the International Lightning Class sailing community (Laravel + Livewire)
I write up experiments on agentic AI, compilers, systems, security, and home infrastructure at johnhringiv.com/blog.
PhD in Computer Science (University of Vermont) and co-founder of the UVM–MITRE Computational Finance Lab. My market-microstructure research was covered by the Wall Street Journal. Full publication list and research code: johnhringiv.com/research.
🌐 johnhringiv.com · 💼 LinkedIn · 📄 CV
Off the keyboard: competitive sailing (International Lightning Class), woodworking, and photography.