Your team uses AI tools. I'll show them how to ship with them.
I'm a senior systems engineer who builds and ships production code with AI tools daily.
Public work that demonstrates the practice. Click through to verify directly.
Backend engineer with 10+ years shipping production systems across fintech, security, blockchain, and developer tooling.
Currently building AI execution infrastructure: LLM orchestration, MCP, multi-agent systems, and evaluation tooling.
Known for owning ambiguous systems end-to-end, from architecture through operations.
9+ years developing production systems in Go and Python, with specialized expertise in Solidity for blockchain applications.
4+ years architecting blockchain systems from smart contracts to full-stack dApps, with deep expertise in multiple networks and protocols.
Specialized in production AI systems, from LLM orchestration to multi-agent frameworks, with focus on practical business applications.
Nine months of running my entire workload through Festival: 138 repositories in git-tracked campaigns, 26.5 billion tokens at 95.8% cache reads, and overhead that stayed flat as the work scaled.
A battle-tested workflow for using Claude Code to manage large-scale projects with parallel AI agents working like a distributed engineering team
I delivered $1 million worth of software per week for seven straight weeks using AI. Traditional COCOMO values the 219,400 lines of executable code at \(7.8M. My actual cost: \)636 in AI subscriptions. This is how I did it.
Most scaling problems have a 2-week solution and a 6-month solution. Let's find yours.
No sales calls. Just an engineer who gets it.