Services

Engineering that survives production.

I focus on outcomes: reliability, latency, cost, and user satisfaction. Thin slices, rapid feedback, and instrumentation from day one.

Data engineering

Your AI is only as good as your data. I build pipelines with contracts, quality gates, and lineage so you can trust what's flowing downstream—and debug it when you can't.

• Data contracts, quality gates, lineage, and run metadata
• Idempotent pipelines so reruns don't corrupt data or blow budgets
• Cost-aware storage and compute patterns

AI & knowledge retrieval (RAG/IR)

RAG systems are easy to demo, hard to productionize. I build retrieval that resists prompt injection, stays fast under load, and gives you eval loops to measure whether changes actually improve results.

• Indexing, chunking, embeddings, and query strategy
• Evaluation loops (coverage, groundedness, latency, cost)
• Prompt-injection defenses (because your users will absolutely try to hack your RAG system)

Agents & autonomy

Agent demos are impressive until they call the wrong API or get stuck in loops. I build orchestration with safety guardrails, tracing, and fallback paths—so your agents fail gracefully instead of catastrophically.

• Tool use, orchestration, and workflow automation
• Observability, tracing, and regression testing for agent behavior
• Cost/latency budgets, retries, and safe fallback paths

Engagements

How we can work together

Discovery & architecture

I'll spend a week embedded with your team: reviewing your current system, identifying the three highest-leverage improvements, and mapping a delivery plan that doesn't require rewriting everything.

Build & ship

We build in 2-week increments with working demos at each stage. Every release includes instrumentation, tests, and rollback plans—not just new features.

Iterate & train

Once you're in production, we analyze real usage data to tune performance, add eval coverage for edge cases, and train your team to maintain and extend the system.

Email me about your project