Interests / background:AI, Data Science, Machine Learning
Nick holds an MEng from Imperial College London, where his studies focused on computational bioengineering. He recently led a team of machine learning engineers creating facial recognition models used to prevent voter fraud more than 625,000 times. With reinforcement learning, he has created conversational agents (pre-ChatGPT) and successfully optimised delivery route planning.
Democratising access to reinforcement learning for building human-level artificial intelligence systems via tooling and RLOps.View Company