Vinaykumar S Hegde

Vinaykumar S Hegde has a diverse and extensive work experience. Vinaykumar S is currently working as the Robotics Software Lead at Vayu Robotics since August 2022. Prior to that, they served as a Robotics Engineer at Facebook from October 2019 to August 2022. Before joining Facebook, they worked as a Computer Vision Engineer at Robby Technologies from July 2016 to October 2019, where they were involved in developing robots for last mile delivery. Vinaykumar S also worked as a Graduate Student Researcher at the University of Southern California's iLab from January 2016 to June 2016, focusing on mobile robot navigation, perception, and SLAM implementation for indoor environments. In addition, they served as a Course Grader for Mathematical Pattern Recognition (EE559) at the University of Southern California from January 2016 to May 2016. Prior to their academic pursuits, they worked as a Student Worker at the University of Southern California from May 2015 to November 2015. Vinaykumar S also gained experience as a Digital Design Engineer at Texas Instruments from July 2011 to July 2014, where they were involved in designing and characterizing Standard Cells for TI's processes and developed a Python-based web-server for Digital Design Margin Calculator. Earlier in their career, they worked as an Avionics Engineer at Project Vyoma from August 2010 to July 2011 and as a Team Member at Project Studsat from December 2008 to July 2010, where they contributed to the development of India's first pico-satellite. Overall, Vinaykumar S Hegde's work experience spans various roles and industries, including robotics, computer vision, digital design, and aerospace engineering.

Vinaykumar S Hegde completed their Bachelor of Engineering in Electrical, Electronics and Communications Engineering at RV College of Engineering from 2007 to 2011. Vinaykumar S then pursued a Master's Degree in Electrical and Electronics Engineering at the University of Southern California from 2014 to 2016. Additionally, Vinaykumar has obtained various certifications, including AI for Trading from Udacity in October 2020, Self Driving Car Engineer Nanodegree from Udacity in April 2018, edX Honor Code Certificate for Scalable Machine Learning from edX in July 2015, Algorithms: Design and Analysis, Part 1 from Coursera in March 2015, and Machine Learning from Coursera in December 2014.