Maxime Rivest

Core Contributor, DSPy

Speaking in 1 session at AI Engineer World's Fair 2026 — unofficial import demo

Bio

Maxime builds tools and create content that make LLMs more accessible and powerful for everyone. He is a core contributor to DSPy and has built numerous open-source Python libraries to advance the ecosystem, including attachments, functai, ovllm, dspy-lm-auth, dspy-template-adapter, and mcp2py. Previously, he worked at Elsevier, building AI infrastructure and compound AI programs to cost effectively run on 100 million records weekly.

Sessions

The Unreasonable Effectiveness of Separating the Task from the ModelThursday, July 2 · 9:40 AM – 10:00 AM · Main StageHarness Engineering

For developers: this programme is open data — JSON, iCal, schedule XML and an MCP endpoint.Show endpoints

JSONEvery published session and speaker, in one request./aie-worldsfair-2026-import/feed.json
iCalSubscribe in Google, Apple or Outlook Calendar./aie-worldsfair-2026-import/feed.ics
Schedule XMLfrab / pentabarf — the format conference apps import./aie-worldsfair-2026-import/feed.xml
MCP + RESTPoint Claude at the programme. OpenAPI 3.1 included./agents

No key, no signup, CORS open. Everything here is generated from the same data the organisers edit.