Summary
Tomer Cagan is a research engineer and pragmatic software developer with 12 years of experience building data-first systems, scalable backends, and ML-driven solutions across startups and product companies. Currently focused on Generative AI and LLM integrations, he combines hands-on model/data curation with production engineering to accelerate expert workflows and embed AI capabilities into products. His background spans distributed compute (Dask on Kubernetes), stream processing, and secure CI/CD, reflecting a blend of research collaboration and tooling-for-scale. As a former CTO and founder, he pairs technical ownership with product sensibility and has repeatedly turned research prototypes into deployed services. Based in Denmark, he brings a curious, builder mindset—comfortable both independently and in diverse teams—and a track record of making complex pipelines low-maintenance and operational.
12 years of coding experience
20 years of employment as a software developer
M.Sc., Computer Science, Cum Laude, M.Sc., Computer Science, Cum Laude at The Interdisciplinary Center
Associate of Arts (AA), Associate of Arts (AA) at Ventura College
BS, Computer Science, BS, Computer Science at Salem International University
English, Hebrew