I'm a Full Stack AI Engineer with 8+ years of software engineering experience, the last several focused on building production-grade AI systems — conversational agents, voice AI, multi-agent automation, and LLM-powered applications that actually hold up under real traffic.
My work usually sits at the intersection of three things: solid full-stack engineering (React, TypeScript, Node.js, Python, FastAPI), real AI integration (OpenAI, Claude, VAPI, Retell, n8n), and the infrastructure that keeps it all running (AWS, Docker, MongoDB, PostgreSQL, Redis).

A few things I've shipped that I'm proud of:
- Rebuilt a conversational AI platform's backend and cut P95 latency from 35s to 8s, dropped failure rate from 15% to 0.3%, and hit 99.7% reliability
- Built healthcare voice agents handling high daily call volume at ~1/10th the cost of larger models, with 92% intent classification accuracy
- Delivered 15+ client automation projects — document intelligence, multi-agent routing, CRM integrations, end-to-end workflow pipelines

What I bring to a project isn't just code. I help clients think through the problem first — what actually needs to be automated, where AI adds real value vs. where a simple script wins, and how to build it so it doesn't fall over in six months. I care about clean architecture, honest trade-offs, and measurable outcomes (latency, accuracy, cost, reliability).
I work well solo and inside teams, communicate proactively, and ship on time. Whether you need a voice agent built from scratch, a legacy workflow automated, a RAG pipeline productionized, or a full AI-powered SaaS MVP, I can take it from scoping to deployment — and stick around for the iteration that always follows.
If you're building something with AI at the core and you want it done right the first time, let's talk.