Training data for frontier AI labs
Frontier AI models trained on noisy web data hallucinate and underperform on tasks requiring reliable, verifiable correctness.
PerfectBit produces high-quality training datasets that are correct-by-construction and validated against simulators, scientific databases, and formal proof systems.
Frontier AI labs and teams building LLMs, robotics systems, and AI-for-science models.
Led teams in the Core Llama group at Meta Superintelligence Labs. Senior Staff Research Scientist across 9 years at Meta spanning LLM pre-training and post-training, inference optimization, full-duplex speech models, and computer vision vision models. Before tech: PhD in Physics, published in Proceedings of the National Academy of Sciences and Physical Review Letters, co-authored with Fields Medalist. Educated at Stanford, Rice, Columbia, post-doc at a National Lab.
I worked as Director of Media Generation at Meta before 2026 for 11 years. I was managing the Media GenAI foundation model research and development, including efficient media generation, text to image generation (Emu), image editing, Movie gen, text to video, video editing and character consistent image and video generation. Previously, led efficient deep learning for computer vision teams supporting on-device models for AR/VR. I was Assistant Professor at Stanford University