Dr Sam Sutton

A graduate of both Cambridge and Oxford universities with a doctorate in computational and synthetic supramolecular chemistry, he caught the data bug while working in IP consulting, where he built tooling to support decision making, and hasn't stopped since.

Sam talks, a lot, about data pipelines, AI infrastructure, distributed systems, obscure technical papers, and approximately seventeen other topics at any given time.

He's far from just talk however, with extensive experience building and managing highly scalable data, ML and AI tooling in production at startups and scale-ups.

A systems engineer at heart, he thinks about failure modes, bottlenecks and edge cases before they become production incidents. When you need to scale without infrastructure falling over, or breaking the bank, Sam's the one designing solutions that actually work.

High-throughput distributed systems? Exactly-once processing guarantees? Retraining ML models without downtime? Low latency, high accuracy RAG? That's where Sam gets interested.

He's architected solutions that scaled from tens to millions of events daily, built pipelines that recover gracefully from failure, and achieved the holy grail of operational cost reduction alongside improved latency and throughput enough times it's probably not just luck.