Anirudh Prabakaran is a software engineer with 11 years of experience building ML-driven, cloud-native systems across health tech, social platforms, and IoT. He holds an MS in Computer Science from Georgia Tech, taught courses in Machine Learning and Databases, and has shipped production ML and backend features at Meta, Instagram, Samsung, Iron Mountain, and Athelas. His work spans end-to-end product development—from data pipelines and SparseNN models to backend infrastructure and full-stack health experiences for wearables—earning a utility patent for a human-in-loop document pipeline. Anirudh is an active open-source contributor (notably adding UDFs and CSV support to the EVA-DB project) and prefers pragmatic solutions that cut costs and latency while improving reliability. Based in Mountain View, he blends research, teaching, and product delivery to move ML prototypes into scalable, user-facing systems.
11 years of coding experience
6 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
Bachelor of Technology (B.Tech.) Computer Science, Bachelor of Technology (B.Tech.) Computer Science at National Institute of Technology, Tiruchirappalli
Contributions:42 reviews, 45 commits, 30 PRs in 1 year 4 months
Contributions summary:Anirudh primarily contributed to the development and documentation of user-defined functions (UDFs) within the EVA-DB project. They created detailed guides on implementing and registering UDFs, including code examples and integration instructions. Additionally, the user added support for loading data from CSV files, including creating tables and defining column types. Furthermore, the user added an emotion detection UDF.
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