Sudip Roy is Co-founder and CTO of Adaption Labs, where he is building AI systems that continuously learn and adapt across the full stack rather than depending on ever-larger foundation models. He was previously a director at Cohere, where he led inference and shipped the serving and fine-tuning infrastructure. Before that, he spent years at Google Brain and DeepMind, where he co-authored TensorFlow Extended (TFX) — the platform powering production machine learning across Google — and helped build the Pathways system used to train and serve the Gemini family of models. He holds a PhD in data management systems from Cornell University.
AI infrastructuremachine learninginferencecontinual learningfoundation models