Summary
Jason Yandell is a veteran lead software developer who combines 40+ years of hands-on programming with modern AI and cloud expertise to deliver revenue-moving production systems. At Triumph Financial he architected an AI treasury matching system that raised auto-match rates from under 20% to over 70% for an $11.3B/year business, shipping what was originally scoped as a multi-year project solo. He builds pragmatic, scalable distributed systems—searchable indexes at 50ms for 80M invoices, Kafka rollouts, and cross-version .NET upgrades with zero downtime—and cuts engineering drag by recovering hundreds of hours per week. Independently he runs tight, cost-conscious AI research (custom transformers, fine-tuned LLM adapters, sub-$50 compute experiments) that solve hard decision-making problems with hidden information. A UT Austin CS alumnus who studied under Edsger Dijkstra and competed at the ICPC World Finals, Jason is open to staff/principal AI roles where technical correctness directly impacts P&L.
14 years of coding experience
27 years of employment as a software developer
B.S., Computer Science, B.S., Computer Science at The University of Texas at Austin