People

Machine-learning engineer and independent AI consultant focused on evaluating, debugging, and improving AI products.

LLaVA coauthor and multimodal AI researcher whose work spans visual instruction tuning, vision-language evaluation and Grok model development.

Creator of LangChain and co-founder of the company, Chase develops software for connecting language models to data, controlling agent execution and managing longer tasks.

Developer Experience leader at Together AI who builds open-source AI applications and teaches developers how to use models in working products.

MIT computational chemist combining quantum chemistry, machine learning, and experimental collaboration to discover molecules and materials.

Builder of Smithery and co-founder of Jenni, with earlier research in generative neural networks and efficient language models.

Researcher whose collaborative work on Idefics, WebSight and open training corpora examines how data, architecture and evaluation shape vision-language models.

Keycard cofounder focused on task-scoped access, accountable delegation, and control over autonomous AI agents.

Leash Bio co-founder building the experimental data and cross-disciplinary teams behind models of protein–molecule interactions.

Promptfoo co-founder whose work connects systematic LLM evaluation with application security and adversarial testing.

Researcher working on reinforcement learning, cognitive maps, and the evaluation and design of planning systems built with language models.

Sequence-to-sequence researcher, founding OpenAI research director, and cofounder and CEO of Safe Superintelligence Inc.

Neural-network researcher, OpenAI cofounder and SSI leader whose work spans image recognition, sequence learning and the problem of reliable generalization.

Roboflow computer-vision contributor and RF-DETR coauthor whose work includes real-time detection, deployment fixes, and technical explanations of segmentation and keypoint uncertainty.

NVIDIA engineer working on distributed inference and the serving infrastructure that lets coding agents reuse context, preserve tool interactions, and run across open-model backends.

Co-founder of Qodo, formerly CodiumAI, and co-author of AlphaCodium, whose work centers on testing, code review, and the engineering needed to make coding agents reliable.

Daytona co-founder who led its pivot from developer environments to AI-agent sandboxes, drawing on earlier work at Codeanywhere, Shift and Infobip.

AI engineer and Instructor contributor whose work spans structured outputs, retrieval evaluation and general-purpose agents.

AI safety researcher and builder of the Factorio Learning Environment, studying open-ended agent capabilities and the limits of model auditing.

AI researcher studying what language models and embeddings retain, how that information can be recovered, and how data shapes model capabilities.

Redpoint investor and Unsupervised Learning host examining how AI capabilities become useful products, particularly in enterprise software and healthcare.

Railway’s founder combines hands-on infrastructure work with a push toward agent-driven development, while insisting that automated changes need safe testing and rollout mechanisms.

Engineering leader at Elicit whose public work explains how to build reliable language-model applications and hire engineers for them.

Brex’s CTO in January 2026, whose AI work spans internal infrastructure, operational automation and specialist-agent systems.

Designer and developer building practical AI tools, with work spanning invoicing, model integrations and scientific communities.

Abridge’s vice president of product on ambient healthcare AI, clinical evaluation, and why complex products still need written clarity.

Developer-tool founder and AI product leader whose work includes v0, AI SDK and Turborepo.

Computer-vision researcher and Voxel51 co-founder whose joint work measures classification-dataset difficulty and screens for potential label mistakes.

Creator of Instructor, the Python library for structured language-model outputs, known for consulting and teaching on retrieval, evaluation, and measurable product outcomes.

Dyna Robotics co-founder and chief scientist applying large-scale video learning to physical robot control.