Summary
Reza Sohrabi is a Staff Data Scientist in the San Francisco Bay Area with a PhD in Electrical Engineering and eight years of experience applying machine learning, deep learning, and signal-processing expertise to consumer-facing products. At Stitch Fix he has driven multimillion-dollar impact through LLM-powered tools for stylists, transformer-based ranking and outfit models that lifted direct-buy and outfit revenue, and production search and NLP platforms. His background in wireless communications and sensor-fusion research underpins a strong quantitative instinct—he has published work on secrecy in wireless channels and built novel indoor positioning and low-rate sound-wave data transfer systems. Reza combines research rigor with production-grade engineering: he designs end-to-end ML systems, implements OOP and algorithmic solutions, and leads experiments that translate into measurable business value. He is a fast learner and persuasive communicator who enjoys turning challenging quantitative problems into practical products that scale.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Electrical, Electronics and Communications Engineering, Doctor of Philosophy (Ph.D.), Electrical, Electronics and Communications Engineering at University of California, Riverside
Bachelor of Science (BS), Electrical, Electronics and Communications Engineering, Bachelor of Science (BS), Electrical, Electronics and Communications Engineering at University of Tehran