Shubham Jain

Shubham Jain

Ml Engineer (Computer Vision) @ Bosch Global Software Technologies

About Shubham Jain

Shubham Jain is an ML Engineer specializing in Computer Vision, currently working at Bosch Global Software Technologies. He holds a Master of Technology in Smart Mobility from the Indian Institute of Technology Hyderabad and a Bachelor of Technology in Civil Engineering from Shri Vaishnav Institute of Technology and Science, Indore.

Work at Bosch Global Software Technologies

Shubham Jain currently serves as an ML Engineer specializing in Computer Vision at Bosch Global Software Technologies. He has been in this role since 2022, contributing to projects that focus on advanced machine learning applications. Prior to his current position, he worked as a Project Trainee at the same company for four months in 2022, where he gained practical experience in the field.

Education and Expertise

Shubham Jain holds a Master of Technology (MTech) in Smart Mobility from the Indian Institute of Technology Hyderabad, which he completed from 2020 to 2022. He also earned a Bachelor of Technology (BTech) in Civil Engineering from Shri Vaishnav Institute of Technology and Science, Indore, from 2014 to 2018. His educational background is complemented by expertise in deep learning frameworks such as Pytorch and Tensorflow.

Background

Before joining Bosch Global Software Technologies, Shubham Jain worked as a Subject Matter Expert at Chegg Inc. from 2019 to 2020. His experience in this role provided him with a strong foundation in technical subject matter, which he has built upon in his subsequent positions in the field of machine learning and computer vision.

Achievements in Computer Vision

Shubham Jain specializes in addressing Computer Vision challenges, particularly those related to Autonomous Driving. His work includes depth estimation and point cloud visualization, which are critical components in the development of autonomous vehicle technologies. Additionally, he completed an internship that focused on Collaborative Learning and Multi-agent systems, further enhancing his skill set in machine learning.

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