Keki Burjorjee

Keki Burjorjee is a prominent computer scientist and the former Chief Scientist at Medium, where he played a pivotal role in founding the Machine Learning Research team. His leadership involved supervising a team of machine learning engineers and scientists focused on solving complex challenges related to recommender systems and natural language processing.1

Academic Background

Burjorjee holds a Ph.D. in Computer Science from Brandeis University, where his research centered on computational efficiencies in evolutionary systems. He also has a background in Brain and Cognitive Sciences from the University of Rochester and earned his undergraduate degree in Computer Science and Mathematics from Vassar College, graduating with high honors.1

Professional Experience

• Medium: Chief Scientist (November 2019 - January 2021) and Principal Scientist (February 2019 - November 2019). He was instrumental in developing machine learning applications to enhance user experiences on the platform.
• Pandora: Held various roles including Staff Scientist and Senior Scientist, where he led projects on personalized music recommendations and automatic genre tagging.12
• Zynga: Worked as a Software Engineer, focusing on pricing models for virtual goods.1
• Amazon: Contributed as a Software Development Engineer, improving scalability and flexibility for Amazon Webstore.1

Burjorjee's expertise spans machine learning, algorithms, artificial intelligence, and software development, making him a key figure in the tech industry.