Stephen Iota is a Technical Lead for Pipelines with eight years of hands-on experience building ML systems and production data workflows in the San Francisco Bay Area. Currently completing an MS in Computer Science at USC, he blends a physics-first undergraduate background with research experience in RL for causal inference, transfer learning, and probabilistic modeling. He has progressed from research internships at USC/ISI and NASA to leading pipeline engineering at an early-stage startup, demonstrating an ability to translate academic ML ideas into robust production infrastructure. His interests span NLP and ML4Science, with a practical focus on applying models to high-impact domains like cybersecurity and drug discovery. Colleagues describe him as a technical generalist who pairs rigorous numerical intuition from physics with pragmatic, production-oriented software engineering.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Science, Physics, Bachelor of Science, Physics at University of California, Riverside
Master of Science, Computer Science, Master of Science, Computer Science at USC Viterbi School of Engineering
Contributions:75 pushes, 4 branches in 3 years 10 months
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Stephen Iota - Technical Lead, Pipelines at Abstract