Services
Data & AI engineering that works in production
I help companies design and build data and AI systems that are reliable, maintainable, and ready for real-world constraints. Not proofs of concept. Production systems.
What I do
Data platforms & pipelines
End-to-end data infrastructure: ingestion, transformation, orchestration, and analytics using modern cloud-native stacks. Built to scale without becoming a maintenance burden.
AI & LLM systems
Retrieval-augmented generation, AI agents, structured outputs, evaluation pipelines, and prompt engineering. I build AI features that behave predictably and degrade gracefully.
Production readiness
Turning prototypes into systems you can actually run: observability, cost control, error handling, and operational resilience. The unglamorous work that determines whether your product survives contact with users.
Architecture & technical direction
Sensible long-term decisions around data, AI, and infrastructure. I help teams avoid over-engineering early and under-engineering late.
Hands-on implementation
I write code. This isn't a consulting-only engagement. I ship working systems alongside your team.
Who I work with
Startups and scale-ups that have data, users, and real operational constraints. Teams that value clarity, technical depth, and pragmatic decision-making over slide decks and frameworks.