Rishabh Mehrotra
About Rishabh Mehrotra
Rishabh Mehrotra serves as the Head of AI at Sourcegraph, bringing extensive experience in machine learning from previous roles at Spotify, Microsoft Research, and ShareChat. He holds a PhD in Machine Learning from University College London and has published over 50 research papers in the field.
Current Position at Sourcegraph
Rishabh Mehrotra serves as the Head of AI at Sourcegraph since 2023. In this role, he focuses on advancing the company's artificial intelligence initiatives. His leadership is expected to enhance the integration of AI technologies within Sourcegraph's offerings, contributing to the company's growth and innovation in the software development landscape.
Previous Experience at Spotify
Rishabh Mehrotra has held multiple roles at Spotify, including Balancing Science Area Tech Lead and Staff Engineer for three months in 2022, and Multi-objective Recommendations Research Lead and Senior Research Scientist from 2019 to 2021. His work involved developing machine learning models for homepage ranking and personalization, significantly impacting user experience.
Educational Background and Expertise
Rishabh Mehrotra holds a PhD in Machine Learning from University College London, where he focused on efficient machine learning models for user tasks. He also earned a Master of Science in Mathematics and a Bachelor of Engineering in Computer Science from Birla Institute of Technology and Science, Pilani. His academic background supports his extensive expertise in machine learning and data science.
Research Contributions and Publications
Rishabh Mehrotra has made significant contributions to the field of machine learning, having published over 50 research papers. His work has focused on various aspects of machine learning, including decision optimization and user intent understanding. Additionally, he has filed more than 10 patents related to machine learning innovations, showcasing his commitment to advancing the field.
Teaching and Mentorship Experience
Rishabh Mehrotra has taught courses and conducted summer school sessions on topics such as multi-objective decisioning and personalization. His experience in mentoring and educating others highlights his dedication to sharing knowledge and fostering the next generation of machine learning professionals.