Jianxin Gong
About Jianxin Gong
Jianxin Gong is a Staff Software Engineer (Tech Lead) at Telenav, recognized for his work in autonomous systems and data analysis.
Company
Jianxin Gong is currently employed at Telenav as a Staff Software Engineer (Tech Lead). He has been with the company since 2022 in Santa Clara, California, United States. Prior to his current role, he has held various positions at Telenav starting from an internship position to more senior roles including Senior Software Engineer and Engineer, Autonomous Car.
Title
Jianxin Gong holds the title of Staff Software Engineer (Tech Lead) at Telenav. His responsibilities include leading a research and development team that focuses on creating innovative solutions for driving behavior detection.
Education and Expertise
Jianxin Gong pursued his educational journey at prestigious institutions. He achieved a Graduate Certificate in Robotics and Autonomous Systems from Stanford University from 2019 to 2020. He earned a Master’s degree in Mechanical Engineering from the University of Southern California from 2017 to 2018, and a Bachelor’s degree in Naval Architecture and Ocean Engineering from Huazhong University of Science and Technology from 2012 to 2016.
Background
Jianxin Gong's background is rooted in engineering and autonomous systems. At Telenav, he advanced from an Autonomous Car Developer Intern in 2018 to a Senior Software Engineer by 2022. He also worked as a Research Assistant at the IMPACT Research Lab at the University of Southern California for 9 months in 2018. His career has been marked by developing driver scoring algorithms for usage-based insurance models and implementing machine learning models to predict crash risks.
Achievements
Jianxin Gong developed a driver scoring algorithm that is used in usage-based insurance (UBI) auto insurance models. He also implemented machine learning models to predict crash risks, enhancing safety in autonomous systems. He is recognized for his creativity in developing innovative solutions in autonomous systems and data analysis. His leadership in the R&D department at Telenav has been instrumental in advancing driving behavior detection technologies.