Vishwajeet Karmarkar

Software Engineer Robotics at Bright Machines

Vishwajeet Karmarkar has a diverse work experience, starting with their current position as a Software Engineer Robotics at Bright Machines since 2023. Prior to that, they worked as a Software Engineer at Amazon from 2022 to 2023.

In 2021, Karmarkar was a Robotics Software Engineer at KCL Robotics where they were involved in IMU-Camera sensor fusion, intrinsic & extrinsic calibration, and wrote device drivers and firmware for Flir, Seek thermal. Vishwajeet also worked on a trajectory generator for a Kuka LBR Iiwa arm.

In the same year, they volunteered as a Section Leader for Code in Place at Stanford University. This online course brought together thousands of students and volunteer teachers from around the world.

In 2020, Karmarkar worked as a Researcher in the Assistive Robotics Lab at Shirley Ryan AbilityLab.

Prior to that, in 2019, they were a Software Engineer at Micelio - Electric Vehicles. From 2017 to 2018, they served as an Innovation Engineer at Aparna Group. Vishwajeet'scareer began as a Co-Founder of 12C Composites in 2015.

Vishwajeet Karmarkar began their education at Savitribai Phule Pune University from 2011 to 2015, where they earned a Bachelor's Degree in Mechanical Engineering. In 2019, they pursued a Master's degree in Mechanical Engineering specializing in Robotics at Northwestern University, which they completed in 2020. Additionally, in 2020, Vishwajeet obtained a Nanodegree in C++ from Udacity. Vishwajeet also holds certifications in Machine Learning from Coursera, which they obtained in August 2019, and in ROS for beginners: Basics, Motion, OpenCV from Udemy, which they obtained in November 2018. Vishwajeet's education and certifications demonstrate their dedication and expertise in the field of Mechanical Engineering and Robotics.

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Atlanta, United States

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Bright Machines

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Headquartered in San Francisco, Bright Machines is an industry leading technology company that offers an innovative approach to intelligent, software-defined manufacturing. It leverages computer vision, machine learning, 3D simulation, and adaptive robotics to fundamentally change the flexibility, scalability, and economics of production. With more than 500 employees worldwide, Bright Machines operates R&D centers in the U.S. and Israel, with additional field operations in the U.S., Mexico, China, and Poland. In 2019 Bright Machines was named a “Technology Pioneer” by the World Economic Forum and one of “America’s Most Promising Artificial Intelligence Companies” by Forbes.