Abhishek Bhat

Abhishek Bhat has over 13 years of work experience. Abhishek started their career in 2006 as a Project Trainee at Automotive Research Association of India. In 2007, they joined Mercedes-Benz India Pvt. Ltd as a Graduate Engineer, where they worked on improving the assembly process, introducing and implementing the concept of centralized command center, and troubleshooting hardware and software for diagnostic equipment. In 2009, they worked as a Project Trainee at Mercedes-Benz India Pvt. Ltd. From 2010 to 2013, they worked at MBtech Group GmbH & Co. KGaA as a Hardware in Loop Application Engineer, where they designed and implemented proof of concept for multi-controller hardware in loop test stand and filled gaps in modeling capabilities for vehicle dynamics and driveline group. From 2013 to 2018, they worked at MathWorks as a Senior Application Engineer, Technical Account Manager, and Application Engineer. In 2018, they joined Stealth as a Staff Engineer. Since 2019, they have been working at Mojo Vision Inc. as a Principal Engineer and Senior Staff Engineer, where they build and refines motion tracking solutions for Mojo Augmented Reality contact lens, evolves calibration procedures and algorithm performance using modeling and simulation, and enhances core understanding of performance on human eye.

Abhishek Bhat's education history includes attending Army School from 1996 to 1999, Bharatiya Vidya Bhavan, Pune from 1999 to 2001, Savitribai Phule Pune University from 2003 to 2007 where they earned a Bachelors in Mechanical Engineering, University of Michigan from 2008 to 2010 where they earned a Masters in Mechanical Engineering, and Stanford University Graduate School of Business where they earned a Stanford LEAD in Business Administration and Management, General. Additionally, they obtained a Self-Driving Car Nano Degree from Udacity in 2017 and certificates from Dr. Mohinder S. Grewal for a 5 day Advanced Kalman Filtering course in 2016 and from Coursera Course Certificates for Machine Learning by Stanford University in 2016.