Summary
Kalai Ramea is an interdisciplinary ML scientist and founder with 11 years of experience building forecasting systems, ML infrastructure, and physics-informed AI at scale, currently focused on capacity planning and inference demand for AI systems. With a PhD in Operations Research and a track record as CTO and DARPA/NSF PI, Kalai blends rigorous research with product delivery—leading teams that moved transformer and diffusion models for long-range weather forecasting past NOAA and ECMWF benchmarks. He has hands-on experience architecting data pipelines (10TB+), production deployments, and raising $2.4M in venture funding while securing federal research grants from NSF, NASA, and DARPA. Known for translating customer feedback into scientific goals, he pairs domain expertise in energy and transportation modeling with practical ML ops and API-driven products. Based in the Bay Area, he also brings public-facing communication experience as a TEDx speaker and a history of turning academic innovation into deployable systems.
11 years of coding experience
18 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Focus: Quantitative Modeling / Operations Research, Doctor of Philosophy (Ph.D.), Focus: Quantitative Modeling / Operations Research at University of California, Davis
Masters, Transportation Engineering, Masters, Transportation Engineering at University of Southern California
B.S., Civil Engineering, B.S., Civil Engineering at College of Engineering, Guindy
English, French, German