Services
AI engineering, start to production.
I take on a small number of clients at a time and work inside each team as a forward deployed engineer. Most of it starts with AI. All of it ends with something running safely in production.
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Forward deployed AI engineer
I join your team, in your Slack and your repo, find the work worth automating, ship it, and stay on call once it's live. - 02
AI agents & workflow automation
Agents that read what comes in, decide what to do, and do it, with a person in the loop where it matters. - 03
RAG & custom AI chatbots
Chatbots and assistants that answer from your own documents, show where each answer came from, and say so when they don't know. - 04
LLM & ChatGPT integration
GPT and Claude inside your product, answering from your data, with guardrails you can explain to legal. - 05
MCP servers & AI tool integrations
Connect Claude, ChatGPT and your own agents to your internal tools and data through MCP, with permissions you control. - 06
AI security review for agents & LLM apps
I try to break your AI agent or chatbot the way an attacker would, then fix what I find and test it again. - 07
Agentic coding setup for engineering teams
Get your engineers shipping faster with Claude Code, Cursor and Codex, without the bugs and security holes AI code brings along. - 08
Voice AI agents
Phone and voice agents that answer calls, book appointments and qualify leads, and pass the call to a person when they should. - 09
Full-stack product engineering
Web and mobile products from first commit to production, built by someone who's done it for 18 years. - 10
Code rescue & upgrades
Apps built fast with AI that half work, and older PHP, Laravel or Node.js apps stuck on versions that no longer get fixes. I make them safe and current. - 11
Security patching & server care
When PHP, Node.js or your server ships an urgent fix, I patch every server you have, check it worked, and tell you when it's done. - 12
Smart contracts & Web3
Solidity contracts and the APIs around them, from someone who led blockchain teams from 2017 to 2019.
How a project runs
Demos are easy. Production is the job.
I work as a forward deployed engineer: inside your team, close to the people who'll use what we build, and on your hours.
- 01
Sit with the workflow
Before any code, I watch how the work gets done today. Who touches it, where it breaks, and what "done" means for the business, not just for the ticket.
- 02
Scope what's real
A short written plan: what we'll build, what we won't, and how we'll know it works. AI projects fail on vague scope far more often than on bad models.
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Build and ship
Small releases in front of real users, early. You see working software every week, not a status report.
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Stay through production
Live systems break in ways demos don't. I stay for the messy part: debugging live, shifting requirements, the integration nobody documented.
Contact
Tell me what you're trying to fix.
I read every message myself and usually reply the same day. A rough idea is enough to start.
Or send a short briefHours
Your hours work for me.
San Francisco
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New York
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London
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Berlin
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Dubai
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Singapore
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Sydney
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Surat
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Me
I keep flexible hours and move my day to overlap with yours, whether that's a morning standup in New York or a late release in Sydney.