Fragile AI.Rebuilt forProduction.

Yes. A substantial portion of my work involves stabilizing systems that already have users but suffer from hallucinations, rate-limit failures, latency spikes, or runaway token costs. We isolate the architectural failure points without forcing a disruptive ground-up rewrite.

Both, depending on your team's needs. In dedicated Build engagements, I write production code—submitting PRs for agent state graphs, vector retrieval, and Redis concurrency locks. In Advisory sprints or fractional retainers, I review architecture specs, enforce boundaries, and mentor lead engineers through complex decisions.

I embed directly into your GitHub/GitLab repositories, pull requests, and Slack channels. I work alongside your CTO and senior backend engineers, establishing rigorous patterns and leaving your team with complete code ownership, telemetry dashboards, and clear operational runbooks.

The two highest-ROI moments are: (1) Prototype-to-Production—when your demo works and you need to harden state, queues, cost controls, and security before launch, and (2) Scale Bottleneck—when real customer load exposes concurrency flaws, dropped jobs, or high model failure rates.

We begin with a focused 30-minute architecture strategy session to discuss your system constraints and bottlenecks. From there, we either execute a 1–2 week Architecture Audit or structure a 4–8 week critical-path build.