Data platforms and pipelines
Cloud-native batch and event-driven systems, data services, migrations, and self-service analytics foundations on GCP and hybrid environments.
Consulting and collaboration
Work with me
I help teams turn demanding data, platform, and applied AI problems into production systems that are useful, reliable, and maintainable.
Where I can help
Applied AI systems
Production-oriented LLM evaluation, ML orchestration, vector data processing, model integration, and the quality controls needed around them.
Platform engineering
Developer workflows, CI/CD, observability, containerized services, and practical guardrails that help technical teams deliver reliably.
Python software delivery
Maintainable APIs, processing services, automation, testing, and technical foundations built to survive beyond the first release.
How I work
I work across discovery, architecture, hands-on delivery, and technical leadership. I am most useful where technical decisions need to account for business goals, production constraints, and the people who will operate the result.
A good fit might look like
- A data or AI initiative needs a clear path from prototype to production.
- A platform or pipeline has outgrown its current architecture or delivery practices.
- Your team needs hands-on engineering alongside architecture and stakeholder guidance.
- A complex technical problem needs to be turned into a pragmatic, maintainable system.
Starting a conversation
Most client consulting is delivered through my current employer, Eraneos Analytics. I am also open to hearing about selected independent freelance engagements where the scope, timing, and existing professional commitments align.
I am equally happy to hear about lead opportunities where data engineering, platform thinking, applied AI, and pragmatic technical leadership come together.
Tell me what you are working on