Anirudh Prabakaran

Software Engineer at Meta

Mountain View, California, United States
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Summary

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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.
code11 years of coding experience
job6 years of employment as a software developer
bookMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
bookBachelor of Technology (B.Tech.) Computer Science, Bachelor of Technology (B.Tech.) Computer Science at National Institute of Technology, Tiruchirappalli
bookPSBB Nungambakkam
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Stackoverflow

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1reputation
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0questions
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Github Skills (13)

databases10
udf10
sql10
python10
ai10
documentation10
database10
database-design9
pandas9
pytorch9
machine-learning8
computer-vision8
data-analysis7

Programming languages (3)

C++JavaScriptPython

Github contributions (5)

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georgia-tech-db/evadb

Aug 2021 - Dec 2022

Database system for AI-powered apps
Role in this project:
userBack-end Developer & Technical Writer
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.
image-classificationvideogpt-4evaexploratory-video-analytics
Anirudh58/eva

Aug 2021 - Jan 2023

Exploratory Video Analytics System
Contributions:105 pushes, 28 branches in 1 year 5 months
video-analyticsanalyticsexploratoryzonemindermachine-learning
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Anirudh Prabakaran - Software Engineer at Meta