Sumeet Kumar
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Head of Machine Learning and Data Science @ Auxia.
AI driven personalization and growth optimization.
San Francisco, California, United States
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Jobs
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- AHEAD OF MACHINE LEARNINGAuxiaJan 2023 - Current (2 years 10 months)Head Machine Learning and Data Science at Auxia where I am driving the development of an AI-powered Growth Platform for optimizing post acquisition customer engagement, retention and monetization. I joined as a part of the founding team. • Leading company wide ML and AI initiatives, providing strategic direction and overseeing the end-to-end execution of projects by a team of 20+ engineers and scientists. • Designed and implemented personalization algorithms using Causal Machine Learning and Bandit frameworks achieving significant improvements in customer KPIs over baseline policies. • Built a performant Machine Learning platform featuring online prediction service capable of handling over 6k peak QPS with a p99 latency of <100ms. • Lev
- GSENIOR RESEARCH ENGINEERGROWTH PLATFORM,Apr 2020 - Nov 2022 (2 years 8 months)Tech Lead for real-time incentives and messaging optimization in the Growth Platform team at Lyft, responsible for building an online Machine Learning platform for personalizing growth campaigns and validating business value. • Provided leadership on cross-functional projects, collaborating effectively with teams from Marketplace, Revenue Operations, and Marketing. • Managed complex stakeholder alignment, coordinating with engineers, data scientists, product managers, and growth marketers, and oversaw multi-quarter projects exceeding 20 members. Novel campaigns delivered $10M+ profit. • Built a robust online Machine Learning service leveraging Flask and deployed on Kubernetes for scalability and fault tolerance, integrated with DynamoDB
ML LEADAetnaMay 2018 - Apr 2020 (2 years)Tech Lead in a joint venture between Aetna and Apple to develop a wearable-based health and fitness app, driving innovation in personalization and health risk prediction. • Led development of ML platform and models, managing a team of 5 DS and 4 Data Engineers. • Collaborated cross-functionally w/ product teams and Apple engineers to align w/ business goals. • Designed/implemented a scalable batch ML platform, leveraging Apache Spark to build robust data pipelines for preprocessing, feature engineering, and model training for seamless integration into downstream personalization workflows. • Directed ML model research and development, including the creation of a Bandit framework for optimizing rewards and incentives and driving significa- TDATA SCIENTISTTEAMJul 2016 - May 2018 (1 year 11 months)Developed a patented algorithm which enabled real-time prediction of price performance (CPM) of an advertiser compared to other advertisers. • Built several high fidelity data pipelines in collaboration with Data Engineers • Led goal setting, measurement and experimentation strategy for several feature launches • Collaborated cross-functionally, brought data driven insights into product strategy and road-map
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Education
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- Masters of ScienceMassachusetts Institute of TechnologyJan 2013 - Dec 2024 (12 years)
- IBachelor in TechnologyINDIAN INSTITUTE OF TECHNOLOGY (IIT) KANPURJan 2007 - Jun 2007 (6 months)
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- mmonitoring: aJan 2016