Mountain View, California · Applied AI Engineer
Frontend engineer turned Applied AI Engineer, building AI agents, RAG systems, and production LLM applications with product instinct.
AI systems with frontend product instinct.
01 / Profile
Applied AI Engineer with 4+ years of production software experience across Apple and Topify AI.
My frontend background shapes how I build AI products: latency should be visible, uncertainty understandable, and system quality measurable.
Frontend Engineer · AI SaaS
AI analysis · Realtime UX · Prompt Intelligence · Analytics · Growth
Frontend Engineer · Core Services
Accessibility · Performance · Platform modernization
03 / Selected work
Production AI product work, agent orchestration, and retrieval evaluation.
03.1 / Topify AI
Production AI Search Intelligence
I owned core product experiences across realtime AI analysis, prompt tracking, competitor intelligence, reporting, onboarding, and conversion.
01 / Product overview
02 / Realtime + agent detail
Progressive states make analysis legible while reviewable agent actions turn signals into a clear next step.
03.2 / AI Job Intelligence Agent
A coordinated agent workflow that connects role research, fit analysis, resume evidence, and interview strategy.
03.3 / RAG + Evaluation System
A retrieval pipeline designed to measure evidence quality before treating an answer as trustworthy.
04 / Background
Years of product engineering taught me that model capability is only useful when users can understand what the system is doing, trust the result, and act on it.
That is the perspective I bring to Applied AI.