Summary
Dan Corin is an AI engineer and consultant with 12 years of experience designing and shipping resilient, distributed systems across fintech and mobility platforms. He led production ML/LLM integrations at Block, building inference pipelines and tooling that achieved 90% precision on dispute automation and enabled low-friction experimentation across multiple LLM providers. His background spans high-scale backend work at Uber and product-facing engineering at Chime, plus early R&D and automation roles at Accenture, giving him deep systems, data, and orchestration expertise. At Block he also pioneered a cross–business-unit Kafka integration in Ruby that unlocked streaming data for 1,000+ microservices and ran company-wide AI working groups and hands-on hack sessions. Now based in New York, he experiments deeply with coding agents and long-running agent loops, turning research into production-ready automation. He brings a physicist’s analytical rigor to pragmatic engineering, pairing rapid prototyping with measurable operational impact.
12 years of coding experience
12 years of employment as a software developer
Bachelor of Arts (B.A.), Physics, Computer Science, Bachelor of Arts (B.A.), Physics, Computer Science at Washington University in St. Louis