Dmitry Buykin
Applied AI Lead, Staff Software Engineer, Maersk
Speaking in 1 session at AI Engineer World's Fair 2026 — unofficial import demo
Bio
Dmitry Buykin builds production AI agent systems that turn frontline tribal knowledge into executable SOPs, tool calls, evidence trails, and evaluation loops across 100+ countries. Before enterprise AI agents became a trend, Dmitry worked on AI/ML adoption at DataRobot and on real-time systems in finance, including payments infrastructure in Nordic banking and algorithmic high-frequency trading systems at Deutsche Bank, where latency, correctness, and risk controls mattered at every step. He has 25+ years of experience building distributed systems, data platforms, and ML/AI products across logistics, banking, fintech, cybersecurity, and telecom, with prior roles at Nordea, Danske Bank, Oracle and several startups. Dmitry studied Applied Mathematics with a focus on mechatronics and the simulation of magnetic-levitation transport. He also leads the Applied AI Chapter at Maersk and runs bootcamps, helping software engineers move from LLM demos to reliable production systems.
Sessions
For developers: this programme is open data — JSON, iCal, schedule XML and an MCP endpoint.Show endpointsHide
- 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.