Coming from a strong sysadmin and infrastructure background, I spent years managing servers, networks, and keeping systems alive. Over time, I realized a fundamental truth: the most dangerous system risks are often the ones you don't even have visible inventory for.
That mindset naturally led me into the world of open source. I started building tools to solve real-world problems around API governance, edge safety, data integrity, and automation.
Here is what I’ve been building in public, what each project taught me, and why these areas matter today:
1. Governing LLM & API Traffic: AI-Gateway
As AI applications move to production, controlling model access, enforcing limits, and monitoring traffic becomes critical.
