Could we use algorithms to help solve our next bottleneck? As LLMs become multi-step agents baked with tools and varying degrees of complexity improving how context is handled from cost, latency to accuracy becomes a compounding problem: shaping what agents see, remember, and do across tools, memory, and retrieval while continuously improving the underlying ai application without manual prompt surgery.
Jacques is Comet’s Head of Product. A data scientist and ML practitioner at heart, served in data science roles at Triptease, Worldpay, and Brightmile. He founded Stakion, a platform Comet later acquired, which monitored machine learning models in production for breaking changes and concept drift. He holds his master’s degree from Imperial College in London, and his engineering degree from CentraleSupélec in île-de-france.
