Summary
Sri Hari is a software engineer specializing in machine learning with eight years of experience building production ML systems for high-impact consumer platforms. Currently at Meta, he focuses on ads delivery, automation, ranking, and semantic representations, after driving major ML and analytics efforts at DoorDash that delivered multi-million-dollar savings in wait time estimation, demand forecasting, and fleet mobilization. He has a strong track record of turning noisy, real-world data into robust models—pioneering real-time features, de-biasing pay models, and evaluating novel LSTM architectures for censored data. His background spans end-to-end work from feature engineering to decision-rule optimization, with practical experience in PyTorch, XGBoost, Spark, and cloud data stacks. Based in San Francisco and completing an MS in Data Science at USF, he brings both rigorous academic training and hands-on product impact. He also combines aerospace engineering roots with data science instincts, which surfaces in his emphasis on principled modeling of physical and temporal systems.
8 years of coding experience
10 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at University of San Francisco
Bachelor of Technology (B.Tech.) Aerospace Aeronautical and Astronautical Engineering, Bachelor of Technology (B.Tech.) Aerospace Aeronautical and Astronautical Engineering at Indian Institute of Technology, Kharagpur