Work with me

Bring me in when the prototype needs to become something your team can run.

I help founders, CTOs, and product engineering teams turn AI, search, and backend work into reliable systems, with evaluation, observability, documentation, and a clean handoff.

22+ yrsFederal systems, commerce, SaaS, automotive, and AI tooling
AI in prodRAG, LLM routing, observability, and developer tooling
4 productsBuilt and run myself: Hive Minded AI, SaaSy, CodeDig, MockForge

01Where I fit

Senior judgment and hands-on implementation in the same seat.

AI production readiness

  • Harden prototypes with evals, review loops, fallbacks, and telemetry.
  • Make latency, cost, and model behavior visible before launch.
  • Design a production path your team can understand and maintain.

RAG, search, and data workflows

  • Retrieval pipelines with pgvector, citations, re-ranking, and freshness controls.
  • Evaluation harnesses so quality can be measured.
  • Better discovery, answer accuracy, and trust.

Backend and platform engineering

  • APIs, services, integration boundaries, and performance.
  • Logs, traces, metrics, runbooks, and dashboards.
  • Lower architecture risk without slowing the team down.

02Engagements

Start with the smallest engagement that reduces real risk.

Every engagement ends with working software or a written plan, plus documentation your team keeps.

Architecture & readiness review1–2 weeks

Review architecture, code paths, data flow, and deployment. Identify observability, security, cost, quality, and latency risks. Deliver a written plan with prioritized recommendations.

Best for: prototypes, technical due diligence, deciding what to build next.

$5K–$10K

Focused pilot build2–6 weeks

Build a narrow workflow that proves or improves something real, with tests, instrumentation, and a deployment path from the start.

Best for: RAG/search pilots, LLM routing, developer tools, internal AI workflows.

$15K–$50K

Production build3–12 months

Own a larger implementation from architecture through launch, with observability, runbooks, security, and performance work built into the plan.

Best for: systems touching users, revenue, or sensitive workflows.

$50K–$300K+

Fractional principal engineerMonthly

Architecture and code reviews, technical decision support, async guidance, and working sessions. Practical recommendations, not slideware.

Best for: teams that need senior judgment over time without a full-time hire.

$5K–$15K / mo

Ranges depend on system size, integrations, and urgency. How I scope and price

03Fit

Good fit signals

  • You have a real system or prototype, not just a vague AI idea.
  • Reliability, latency, cost, or quality measurement matters.
  • You want a senior builder who can also explain tradeoffs clearly.
  • You value documentation and handoff, not just code output.

Representative work

Send the system context.

Tell me what exists today, what isn’t working yet, and what outcome would make the engagement worthwhile. I’ll reply with fit, availability, and the smallest useful next step.