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Gautam Kedia

ML @ Stripe

Gautam Kedia is a seasoned professional adept at incubating big data ideas and deploying large-scale machine learning systems to serve millions of users. With a background in MS Information Networking and Computer Science from Carnegie Mellon University and a Bachelor's in Computer Engineering from Mumbai University, Gautam has honed his skills over the years.

Throughout his career, Gautam has spearheaded teams of researchers and engineers in the development and deployment of machine learning solutions, particularly in emerging domains like Office and Outlook. His expertise lies in the end-to-end process of feature creation, from concept and data analysis to model deployment and user feedback integration.

Gautam has a robust track record of training models across diverse domains such as search ranking, user action prediction, and text generation. He is actively involved in the practical implementation of experiments, overseeing the execution of numerous trials monthly. His leadership extends to managing projects, coordinating tasks, monitoring progress, and ensuring operational efficiency.

Currently serving as an Engineering Manager - ML at Stripe, Gautam has previously held key positions at prominent tech companies like Lyft and Microsoft, where he played pivotal roles such as Manager of Machine Learning, Principal Applied Scientist Lead, Senior Applied Scientist Lead, Senior Software Engineering Manager, and Software Developer.

Gautam Kedia's professional journey showcases his commitment to innovation, team leadership, and driving impactful machine learning solutions for real-world applications.

Gautam Kedia
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Location

San Francisco Bay Area