People

Founder of Linzumi and former OpenAI technical staff member whose work connects written specifications, model alignment, and coordination of AI coding agents.

Cerebras CTO and co-founder whose work includes enabling sparse-model training and advocating faster inference as a way to make reasoning models practical in real-time applications.

LLM research engineer and author whose books, code and technical essays explain language models through working implementations and practical experiments.

Technical strategy, partnerships and community work focused on how frontier AI reaches practical use.

Genesis Molecular AI CTO and former Meta research leader whose work spans Llama training, machine translation and distributed infrastructure.

AI researcher whose collaborative work spans zero-shot language-model reasoning, self-training, differentiable categorical sampling and robot learning.

Founder of Lexica and builder of Debuild and Vectordash, whose work spans image generation, code generation, and browser agents.

Cross-border investor whose public work on financial AI centers on traceable evidence, consistent numbers and accountable investment decisions.

Weights & Biases cofounder and former CTO, now leading AI software-platform efforts at CoreWeave.

OpenAI API engineering leader whose public work spans function calling, agent evaluation, developer platforms and reliability.

Product leader whose work spans Gemini developer tools, search grounding and real-time applications; identified at Google Cloud Next 2026 as Gemini Enterprise’s quality lead.

Creator of Guardrails and co-founder of Guardrails AI, Shreya Rajpal develops ways to specify, validate and test language-model behavior in real applications.

Computer science researcher working on data management for AI systems, document-processing pipelines, and evaluation aligned with human judgment.

Language-agent researcher whose work connects reasoning, interaction, interface design and reliable evaluation.

Oleve co-founder whose work spans shared AI infrastructure, agents for consumer-app operations, and production feedback for learning tools.

Co-founder of turbopuffer, whose search architecture grew from the cost of AI retrieval at Readwise and years of infrastructure work at Shopify.

Notion cofounder whose AI work spans early prototypes, repeated agent redesigns, and tools for evaluating and supervising automated work.

Creator of Datasette and LLM, Django co-creator, and a writer on language-model tools, prompt injection and AI-assisted software development.

Composio cofounder focused on how AI agents authenticate, use software tools, and improve their interactions with external systems.

Docker’s creator, whose work at Dagger applies containerized execution to coding agents and software delivery.

AI developer relations leader and educator whose work includes building Mistral’s developer community, Mixtral coauthorship, and teaching practical uses of language models.

PyTorch co-founder, AI infrastructure engineer, and robotics researcher whose work emphasizes accessible tools, user feedback, and practical applications.

Dust cofounder and engineer working on workplace AI, agent collaboration and formal verification, with earlier research contributions to neural theorem proving.

AI researcher whose work spans children's AI literacy, creative programming with families, and self-improving research agents.

Neo4j developer relations leader whose AI teaching focuses on graph retrieval, agent memory, and helping developers understand where technology applies.

Founder of tldraw and creator of Perfect Freehand, Ruiz develops canvases for visual work with AI, from annotated prototypes to local agent scripting.

Software engineer and writer whose work spans compiler-derived code intelligence, AI coding assistants, and systems for coordinating coding agents.

Playground founder and image-generation research coauthor whose work combines model development with visual editing tools.

Systems engineer whose work on Fullstack-Bench and Convex’s MCP server examines how feedback, code, and abstractions shape autonomous coding.

Cloudflare engineer and PartyKit founder working on durable AI agents, sandboxed code execution, and software that lets people and agents act on the same work.