Your next senior hire.
When one person builds it all, nothing gets lost in translation.
Most developers write code. I ship products — designed, built, and deployed — in the time it takes most teams to finish sprint planning.
2+
Years in production systems
80%
Less time vs. traditional timelines
I design the UX in Figma before writing a line of code. I handle motion in After Effects, 3D in Blender. When it gets to implementation — Next.js, Node.js, MongoDB, Redis — everything I build already has the product thinking baked in. You don't pay for two people. You get one who works like a team.
The speed comes from methodology, not just tools. I run agentic AI loops — Claude Code executing, reviewing, and refining entire feature sets while I steer product decisions. Build-to-deployment in under 48 hours isn't a target. It's how I work. That gap compounds across a project.
Production means production. I containerize with Docker, monitor with Grafana and Prometheus, cache with Redis. Nothing I hand you needs a DevOps engineer to nurse it. It's live, it's watched, and it's yours to scale.
The Full Stack.
The Speed Advantage
Not Copilot suggestions.
Autonomous build loops.
The developers your team already has use AI to autocomplete. I use it to compress a 3-week sprint into 48 hours — and hand you something deployable at the end. Here's the exact process.
01
Features, not tickets
I scope a feature, hand it to a Claude Code agent, and steer from the product layer. The agent plans the file structure, writes the implementation, and self-corrects on errors. You get a finished feature, not a status update.
02
Zero-waste repeatability
Every repeatable task — code review, PR documentation, component scaffolding from Figma, deployment verification — runs as a saved AI pipeline. The 10th time I do something takes the same time as the first. That margin is yours.
03
Consistency at scale
Most AI output drifts — great on feature one, inconsistent by feature ten. I engineer the guardrails: clear scope, defined constraints, reviewable output. The code you get on day 30 is held to the same standard as day one. That's not discipline. That's the system.
How a feature goes from brief to shipped
Things that shipped.
Four products. Real users. Production infrastructure.
Team Management Platform
AI-Powered Hiring System
Company Website Suite
Production Monitoring Stack
Your next product
ships faster with me
on it.
Currently available for Q2 2026 — project contracts, agency partnerships, or a full-time role at the right product company.