Architect, AI Engineering for Developer Productivity
I design and ship agentic systems, AI pipelines, and the developer platforms that run them. Before that, I co-founded the ServiceNow engineering bootcamp that trained 4,000+ engineers and generated $200M in business value by cutting ramp time from 6 months to 30 days.
Building AI products end to end, from model calls to production infrastructure
I'm an Architect, AI Engineering for Developer Productivity at ServiceNow, with 8+ years of platform engineering behind me, and I spend my nights and weekends shipping AI-native products. I care about the whole stack: context and memory design, evaluation loops, the Rust and Python underneath, and the cloud it deploys to.
Agent architectures, persistent context and memory systems, LLM pipelines with automated quality checks, and tool integrations built on the Claude API and MCP.
Kubernetes and cloud deployment across AWS, GCP, and Azure for enterprise-scale ServiceNow solutions, plus modern edge and serverless stacks for my own products.
Co-founded an enterprise-wide engineering bootcamp, built internal developer communities, and wrote the technical content that became standard reference material.
Former collegiate and semi-professional basketball player (6'10") who brings competitive discipline and coaching instincts to engineering work.
Products and agent tooling I design, build, and run myself
A private AI companion for Mac
A local-first desktop app that reads your personal notebook and becomes a companion that actually knows your context: weekly priorities, long-term plans, calendar, and reminders. Files never leave the device. Bring your own Claude or OpenAI key, or run a local model. Signed, notarized, and shipping.
Turn your stuff into the market
An inventory and liquidation tracker that lists items across marketplaces, generates listing copy, publishes directly through the eBay API, and mirrors every sale into index-fund shares so you can watch physical stuff become growing assets.
AI-augmented field notebook
The open-source notebook framework Yachito is built on. A structured markdown workspace that gives AI assistants persistent context across sessions: priority trackers, weekly plans, runbooks, a memory system, and a command set for Claude Code.
Agentic coding CLI
A Go-based CLI that chats with Claude or Gemini and reads and edits files directly on disk. Built before agentic coding tools like Claude Code existed.
Local context server for agents
A local Model Context Protocol server with hybrid semantic and text search over docs, offline LLM workflows through Ollama, and a plugin system for extending agent context.
Documents to Markdown for LLMs
Converts PDF, DOCX, XLSX, and PPTX files to clean Markdown before they hit a model's context window, cutting token usage by roughly 80 to 90 percent.
Agent skill library
Sixteen modular, spec-compliant skills for Claude Code and Cursor covering the full define, build, verify, review, and ship workflow.
Arcade tycoon, pixel by pixel
A management game where you build an arcade floor, fill it with cabinets, and keep the whole thing from falling apart. Procedural backgrounds, gamepad support, and SCUMM-style interaction. A playground for spec-driven, agent-assisted development.
Platform engineering at enterprise scale, with a track record of measurable impact
Led Kubernetes and cloud deployment initiatives for enterprise-scale ServiceNow platform solutions across AWS, GCP, and Azure.
Co-founded and scaled an enterprise-wide engineering bootcamp from concept to company-wide adoption, training 4,000+ engineers across 250+ sessions.
Generated $200M in measurable business value by reducing engineering ramp time from 6 months to 30 days.
Developed communication platform solutions using REST APIs and modern web technologies, contributing to developer experience initiatives.
Led software development projects in healthcare technology and educational platforms, including a re-platforming of a multi-million dollar healthcare application using Kubernetes and cloud-native technologies.
Hands-on help shipping AI systems and the platforms they run on
Design and build agentic systems that hold up in production, from the first prototype to the eval loop that keeps it honest.
Practical guidance on platform engineering, cloud infrastructure, and the developer experience that sits on top of it.
Set up your team to build with AI coding agents: repo conventions, persistent context, custom commands, and guardrails that scale.
Onboarding programs and developer communities that cut ramp time and make platform adoption stick.
Git-native technical training that evolves with your codebase
After generating $200M in business value by reducing ramp time from 6 months to 30 days, I systematized the methodology into a scalable, git-native platform any engineering organization can adopt.
Version-controlled curriculum that updates with your tech stack. No more stale training materials: the content evolves alongside the codebase it teaches.
Engineers use Git, pull requests, and familiar tools instead of a clunky LMS. Learning happens in the same environment where work gets done.
Intelligent content suggestions and personalized learning paths. AI identifies knowledge gaps and recommends targeted resources.
Pure markdown and web technologies, hosted anywhere. Compare that to traditional LMS platforms at $50-200 per user per month.
Scale technical onboarding for rapidly growing engineering teams at ServiceNow.
Co-founded an enterprise-wide bootcamp using Education as Code principles.
Building something with AI, or need a platform that can carry it?