Shivesh Khaitan
About Shivesh Khaitan
Shivesh Khaitan is a Machine Learning Engineer who specializes in applying machine learning to robotics, particularly in computer vision algorithms. He has an extensive background in research and development across various organizations, including Argo AI Lab and Carnegie Mellon University.
Work at InstaDeep
Currently, Shivesh Khaitan serves as a Machine Learning Engineer at InstaDeep Ltd, a position he has held since 2023. He is based in the San Francisco Bay Area and works on developing machine learning solutions that address complex challenges in various industries. His role involves leveraging advanced algorithms and techniques to enhance the capabilities of machine learning applications.
Education and Expertise
Shivesh Khaitan earned a Master of Science in Robotics from Carnegie Mellon University, where he studied from 2021 to 2023. He also holds a Bachelor of Technology in Computer Science from Manipal Institute of Technology, completed in 2021. His academic background provides a strong foundation in robotics and machine learning, enabling him to specialize in applying these technologies to real-world problems.
Background
Shivesh Khaitan has a diverse professional background, having worked in various roles related to machine learning and robotics. His experience spans multiple geographical locations, including the United States, Singapore, and India. This exposure has enhanced his cross-cultural collaboration skills, allowing him to work effectively in international teams.
Achievements
Throughout his career, Shivesh Khaitan has contributed to significant projects in the field of robotics and artificial intelligence. He worked at Argo AI Lab, where he contributed to the development of advanced computer vision algorithms. Additionally, he participated in the Google Summer of Code program, focusing on robotics software development, and held leadership roles in Project MANAS, overseeing artificial intelligence initiatives.
Previous Work Experience
Shivesh Khaitan has held various positions prior to his current role at InstaDeep. He worked as a Research Assistant at Argo AI Lab at Carnegie Mellon University from 2021 to 2023. His earlier experiences include internships at Open Robotics, Microsoft, and X, the moonshot factory, as well as roles at Black Coffee Robotics and Project MANAS, where he was involved in AI and robotics projects.