Software engineer who builds production AI systems end-to-end - backend APIs, LLM integrations, frontend UX, and real-time infrastructure. I was an early engineer at an AI startup (small staff/principal-heavy team with folks from Meta/Uber/Amazon), where I shipped core features including LLM-powered conversation analysis, streaming AI workflows, realtime voice systems, and internal tooling used in production. I enjoy work where systems, product, and users collide - especially applied AI, developer tooling, and human-in-the-loop workflows. I like making AI systems reliable and debuggable: evaluations, traceability, operational workflows, and the boring-but-essential guardrails that keep things stable at scale.

IP Protection

Several ideas. Primarily working on AEGE(https://withaege.com/)