Abhishek Mohta
Staff Software Engineer at Aurora
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolAbhishek Mohta is a Staff Software Engineer at Aurora in San Francisco, where he builds perception and prediction algorithms for autonomous trucks and vehicles. With eight years in self-driving research and production systems, his background spans Uber ATG and a Microsoft Research Fellow role focused on neural-guided deductive search for real-time program synthesis. At Microsoft, he pioneered NGDS, a hybrid symbolic-deep-learning approach that reduced PROSE’s branch exploration by over 75% and yielded more than 10x speedups, leading to a patent and ICLR 2018 publication. Since 2021, he has advanced perception and prediction pipelines at Aurora, translating cutting-edge ML research into robust, scalable autonomy software. He holds a Master of Science in Computer Science from Carnegie Mellon University and a BE in Computer Science, plus an MS in Economics from BITS Pilani, reflecting a rare blend of technical depth and quantitative rigor.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering (B.E.), Computer Science, 9.41/10, Bachelor of Engineering (B.E.), Computer Science, 9.41/10 at BITS PilaniMaster of Science - MS, Computer Science, GPA: 4.15, Master of Science - MS, Computer Science, GPA: 4.15 at Carnegie Mellon UniversityAISSCE - 97% AISSE - 9.8/10, AISSCE - 97% AISSE - 9.8/10 at Birla High School
English, Hindi, German, Bengali
Github Skills (22)
c-sharp9
java9
cntk9
computer-vision8
python8
deep-learning8
c-plus-plus8
machine-learning8
pytorch7
neural-network6
mono6
tensorflow6
microsoft6
deep-neural-networks5
api5
Programming languages (4)
Github contributions (5)
abhimohta/Static-Module-Verifier
Feb 2017 - Jun 2017
Contributions:4 PRs, 75 pushes, 18 branches in 4 months
microsoftverifiermicrosoft-azureazure
abhimohta/abhimohta.github.io
Nov 2017 - Sep 2019
Contributions:65 pushes in 1 year 10 months
templategithub-pages-templatemmistakesmistakesjekyll
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