Staff Software Engineer
I build and lead the design of distributed, well-tested backend systems — and the infrastructure that makes enterprise AI safe to ship. Seventeen years across C#/.NET, Azure, and Kubernetes, most recently building LLM evaluation and observability platforms.
01 — About
I'm a product-minded Staff Software Engineer with 17 years of experience, working primarily in C#/.NET on Azure. My core is distributed systems, microservices, and domain-driven design — building services that are well-tested, maintainable, and operationally owned end to end.
Most recently I've focused on enterprise AI infrastructure: declarative LLM evaluation frameworks for safe model-swapping, and observability over full LLM interactions — the backbone of a triage → evaluation → fix loop used across multiple AI-agent teams. I hold an MSc in IT with an NLP focus, and I use Claude Code and GitHub Copilot daily.
I work across the stack when it helps the team ship, and I lean on strong fundamentals — databases, testing, and clear architecture — over chasing tools. I'm based in West London.
02 — Selected work
Observability over full LLM interactions — user turns, system prompts, tool calls, context — as the backbone of a triage → evaluation → fix loop across ~30 engineers and six AI-agent teams, in partnership with InfoSec.
A declarative framework with 20+ evaluators for non-deterministic testing and safe LLM model-swapping — every fix must pass all prior evaluations before it ships.
Led a zero-downtime consolidation of core AI features into a single unified service across a 40+ engineer codebase.
In an empowered product trio, I caught an off-roadmap customer pain during discovery and shipped a database-style visualisation as a ~2-day experiment with one frontend engineer — one of the year’s most successful features, shown by the CPO at all-hands.
03 — Open source
Pulled from GitHub at build time, so the state below reflects each repo as of the last deploy.
04 — Experience
C#/.NET, Azure, AKS, DDD, event-driven microservices; AI infrastructure and technical leadership.
Client-facing delivery across multi-country sites; C#/.NET, Azure, SQL Server.
Scaled the platform from 500k to 900k+ users; proposed simpler, often better implementations.
05 — Recommendations
You can count on him during incidents — calm and sharp, with deep performance, scalability and database expertise.
Moves fluidly between high-level architecture and low-level implementation; a key contributor to the distributed architecture.
Bridges product and engineering with drawings that clarify solutions and constraints; mentors engineers into confident problem-solvers.
Brings structure to complex areas like AI evaluation and data flows; turns risk into scalable, production-ready systems.