Anubhav Paras is a software engineer with 8 years of experience building full-stack and machine-learning-enabled systems, currently contributing to Zoox’s autonomous vehicle efforts in the San Francisco Bay Area. He blends production engineering (Java/Spring, Angular, distributed web services) with applied research in deep reinforcement learning for self-driving taxis, drawing on an MEng in Robotics from University of Maryland. Previously he scaled wealth-management applications at Morgan Stanley used by 15k+ advisors and developed an automated meeting-minutes tool leveraging AWS Transcribe and NLP techniques. Comfortable across systems from embedded robotics prototypes to cloud services, he also coaches teams on machine learning, blockchain, and software design—reflecting a rare mix of hands-on coding, research experience, and teaching.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Technology - BTech, Electrical and Electronics Engineering, Bachelor of Technology - BTech, Electrical and Electronics Engineering at Visvesvaraya National Institute of Technology
Secondary School, ICSE, Secondary School, ICSE at Methodist High School
Master of Engineering - MEng, Robotics, Master of Engineering - MEng, Robotics at University of Maryland
Contributions:4 pushes, 1 branch in 2 years 9 months
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