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Abhijeet Mishra has a diverse work experience in the field of robotics and engineering. Abhijeet is currently working as a Robotics Software Engineer at Realtime Robotics, Inc. since May 2022. Prior to this, they worked at EverestLabs.AI from October 2020 to June 2022, where they held the position of Robotics Engineer. Abhijeet also worked as a Robotics Engineer Intern at EverestLabs.AI from May 2020 to October 2020.

Abhijeet had an internship at Columbia University in the City of New York, where they served as a Graduate Student from August 2018 to December 2019. Abhijeet also worked as an Intern at the Robotic Manipulation and Mobility Lab at Columbia University from May 2019 to August 2019, where they modified the design of an underactuated three-fingered gripper. In addition, they worked as a Course Assistant at Columbia University from January 2019 to May 2019.

Furthermore, Abhijeet has experience as a Project Trainee at Godrej & Boyce Mfg. Co. Ltd. from March 2018 to June 2018, where they were involved in the Low Cost Automation department of the Material Handling Equipment Division. Abhijeet also worked as a Research Intern at the Indian Institute of Technology, Bombay from July 2017 to December 2017, where they designed and built a Pulse Electro-Chemical Machining setup.

Additionally, Abhijeet undertook an Undergraduate Project at Corru Cartons India Pvt Ltd from August 2016 to November 2016, where they developed a semi-automated quality control system for measuring dimensions of corrugated boxes. Prior to that, they worked at Kraftwagen as a Team Member (Transmission) from March 2014 to March 2016, where they were responsible for the design and development of the CVT based transmission system for an All-Terrain-Vehicle.

Abhijeet Mishra completed their Bachelor of Engineering in Mechanical Engineering at Savitribai Phule Pune University from 2013 to 2017. Abhijeet then pursued a Master of Science in Mechanical Engineering at Columbia University from 2018 to 2019. Additionally, they obtained several certifications related to artificial intelligence, machine learning, and deep learning from Coursera in 2019, including Convolution Neural Networks, Improving Deep Neural Networks: Hyperparameter tuning, Regularization, and Optimization, Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning, Neural Networks and Deep Learning, and Machine Learning.