Tejas Narayanan is a software engineer and Stanford CS master's student with nine years of experience building systems spanning machine learning, low-level systems, robotics, mobile and web applications. He has interned and now works full-time at Citadel in New York, with prior engineering roles at Bloomberg and Ford and leadership in Stanford robotics and ACM machine learning labs. Tejas blends research-oriented ML experience with production-grade systems engineering, having led autonomous boat software and mentored robotics teams since high school. Comfortable across the stack, he moves ideas from prototype to deployed services and brings practical expertise in both algorithmdriven and systems-level challenges. An inquisitive collaborator, he pairs academic rigor from Stanford with fast-paced finance and industry engineering environments.
10 years of coding experience
7 years of employment as a software developer
Cupertino High School
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Stanford University
Contributions:15 pushes, 1 branch in 3 years 7 months
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