I've spent most of my career on data engineering and enterprise AI/ML systems. I am currently working as a Director of AI Engineering at Provectus, a tech AI/ML systems consultancy and Anthropic Applied AI partner.
- Reference implementations and enterprise agentic systems for enterprise (Claude Code, MCP infrastructure, marketplaces & agent registries, frameworks, long-running harnesses, et al)
- Forward-deployed engineering and client prototypes: custom-built agentic solutions for healthcare, finance, insurance, and other industries
- Provectus AI engineering stack: tooling for AI-assisted development in the Claude Code ecosystem
I publish reference architectures, starter kits, and production patterns from my work with agentic systems and MCP infrastructure. If something here saves you time or sparks an idea, please give me a ⭐ or say hello! It helps me understand what's useful work that I should develop further.
Recent talks: AWS Summit London · Lisbon · San Francisco, CA — Claude Code fundamentals and agentic development workflows
Background: ~25 years building and scaling production systems. Previously VP of Engineering at Volley Automation (robotics) and Fluence Energy (bidding platform & predictive analytics for energy markets), Director of Engineering at Figure Eight/Appen (large-scale HITL data annotation), Sr. Director of Engineering at Revinate (ML for travel/hospitality). Earlier: staff engineer, tech lead, & founder (IP telephony app start-up, web/mobile app business, e-commerce).
Credentials: Anthropic Certified Architect — Foundations (inaugural cohort)




