Ship AI-powered code review, agentic pipelines, and developer-productivity tooling, built by someone who's run CI/CD across 100+ daily branches and led 60+ engineers. Not a consultant who's read about it — an engineer who's done it in production.
Every engineering org is being told to "use more AI." The hard part isn't the idea — it's integrating it into a real codebase, a real CI/CD pipeline, and a real team's workflow without breaking what works or shipping something nobody trusts.
That's the gap I close. I've spent 15 years building and scaling production systems — millions of lines of code, hundreds of daily deploys — and I've put AI into those pipelines in compliance-bound environments where "move fast and break things" is not an option. I bring that into your org and leave you with tooling your engineers actually use.
Concrete systems that cut review time, catch errors earlier, and free your engineers from the work that drains velocity.
Automated review on every PR that catches bugs, regressions, and style issues before a human spends time on them.
Multi-step agents that handle scoped engineering tasks end to end inside your existing workflow.
Pipelines that surface, classify, and propose fixes for production errors — shrinking time-to-resolution.
Expanded coverage plus systematic detection of the flaky tests that erode trust in your suite.
Purpose-built tooling and Model Context Protocol servers that connect AI to your systems safely.
AI-assisted refactoring and modernization of the older systems your team is afraid to touch.
A defined deliverable with a clear scope and milestones — AI code review in your CI/CD, an agentic pipeline, a modernization effort, or a custom internal tool. Delivered incrementally, with working code at every checkpoint, and handed off with documentation.
Ongoing fractional-CTO or technical-advisory support — architecture decisions, AI strategy, CI/CD direction, and hands-on guidance for your team. For orgs that need senior engineering judgment without a full-time hire.
I've built and managed CI/CD for 100+ daily branches across large engineering teams, trained 60+ engineers on AI-assisted development, and run production AI — agentic workflows, automated code review, error remediation — every day inside FERPA-bound education systems. The tooling I'd build for you is the tooling I've already shipped.
Bring the bottleneck — slow reviews, flaky tests, a legacy system, an AI initiative that's stalled — and I'll tell you straight what's worth building and how I'd approach it.
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