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.

Paul bridges enterprise strategy and AI engineering, turning advanced AI systems into products that drive revenue, reduce risk, and improve operational efficiency. He brings commercial strategy experience from LinkedIn and EY-Parthenon, advising B2B software and private equity-backed companies on product positioning, go-to-market, and growth. Focuses on ensuring that AI systems translate into measurable business outcomes in real-world deployment. Master's in CS from UPenn, BA in Economics from Brown.

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.

Karthik builds production AI agents and data infrastructure. He shipped AI agents and talent intelligence products at Rippling, and was a staff engineer at Trifacta building data platforms (Google Dataprep, multi-cloud integrations across AWS, Azure, GCP). Full-stack production AI experience from distributed systems to ML research. BS in CS and Applied Mathematics from Brown.

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.