Summary
Omid Setayeshfar is a research scientist with a Ph.D. in computer science and over a decade of experience applying AI, data science, and security to real-world systems. He designs scalable deep-learning solutions for system security and provenance tracking, extracting patterns from multi-terabyte graph and tabular datasets using tools from PySpark and Neo4j to LSTMs and convolutional models. His work spans academia and industry, including research roles at Meta and NEC Labs, two patents, and leadership of graduate student programs that significantly increased mentorship engagement. A pragmatic builder, he has shipped enterprise software, consumer apps with 100K+ active users, and regularly competes in Kaggle where he’s placed in the top hundreds. He thrives in multidisciplinary teams, mentors others, and balances research with hands-on tinkering—fixing cars and creating AI models in his spare time. Based in Menlo Park, he combines deep theoretical expertise with a proven track record of shipping practical, secure ML systems.
10 years of coding experience
17 years of employment as a software developer
BS, Computer Software Engineering, First of class, BS, Computer Software Engineering, First of class at Shahid Chamran University
University of Georgia
High School Diploma, Mathematics and Physics, Less than 1% acceptance rate, High School Diploma, Mathematics and Physics, Less than 1% acceptance rate at National Organization for Development of Exceptional Talents (Sampad)
English, Persian, Arabic