Summary
Craig Helfgott is a founding engineer with nine years of industry experience who combines a PhD in theoretical physics with deep expertise in quantitative analytics, backend engineering, and Google-scale system design. His career spans quantitative finance at D.E. Shaw and DTCC, large-scale ad systems at Google, population health and geospatial pipelines at Mount Sinai, and product and optimization engineering at consumer marketplace Torch. He excels at building robust data pipelines, search and ingestion systems, pub/sub architectures, and cart optimization algorithms, often owning end-to-end design through deployment on AWS/Postgres/PostGIS stacks. Comfortable mentoring engineers and translating complex requirements into production services, he brings a rare mix of academic rigor and practical product-focused engineering. Based in the NYC metro area, he now applies that breadth to specialized EHR and healthcare software as a founding engineer at Endue.
9 years of coding experience
15 years of employment as a software developer
Ph.D. Physics, Ph.D. Physics at University of California, Berkeley
BA Physics, BA Physics at Princeton University
Hebrew, English