Michael builds and deploys production LLM systems. He integrated AI into investment processes at Oaktree Capital Management and developed causal inference methods that supported the expansion of Novartis' best-selling drug Cosentyx. PhD in Computing & Mathematical Sciences from Caltech (thesis: reliable, cost-effective LLM deployment), with degrees from Brown, ETH Zürich, and Oxford.

Karena engineers safety-critical ML systems for production. As a Senior Applied Scientist II at Cruise, she shipped production-ready autonomous vehicle models. She now helps engineering teams harden AI prototypes into stable, mission-critical systems through hands-on enablement via her platform CurioCity. PhD from Caltech, BA from Princeton.

Volkan specializes in the physical infrastructure that powers AI at scale. He has built systems at NVIDIA (computing limits research, hybrid classical-quantum data centers), developed next-generation HBM memory at Micron, and designed large-scale photonic-electronic integrated circuits at Caltech. He teaches the Caltech AI Bootcamp. EU Contest for Young Scientists prize recipient (CERN). MS from Caltech, BS from Georgia Tech, completing PhD in EE & Physics at Caltech.

Max is the founder of SignalBloom AI, with nearly two decades of experience building high-performance systems in tech and finance. He spent four years on infrastructure and HHVM at Meta, built low-latency feed handlers for algorithmic trading, and developed HPC math libraries for what was then the world's 4th-fastest supercomputer. Prior consulting engagements include Microsoft, Intel, and IBM.

Paul bridges enterprise strategy and AI engineering. He led 20+ strategy engagements for B2B software clients at EY-Parthenon, then joined LinkedIn as a Senior Associate before pivoting to computer science. Interact fellowship alumnus (backed by Sequoia and Andreessen Horowitz). Master's in CS from UPenn, BA in Economics from Brown.