Pragun Ananda
Software Engineer at Google
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolPragun Ananda is a software engineer at Google with seven years of experience building large-scale, production systems for embeddings-based search and identity infrastructure. He develops high-performance C++ vector similarity search for products like Gemini, Search, and YouTube while also leading agentic RAG tooling and Python data pipelines that empower teams to build RAG knowledge bases. Previously he built OIDC-compliant, high-throughput authentication services for Firebase and contributed to LLM interpretability research and explainability tooling. Pragun teaches ML topics internally at Google and has practical ML engineering experience in open-source projects—adding ergonomic utilities and plotting features to a machine learning library to improve model usability. Based in New York, he pairs systems-level performance engineering with hands-on ML research and developer-facing tooling.
7 years of coding experience
2 years of employment as a software developer
Artificial Intelligence, Artificial Intelligence at Stanford UniversityBachelor's degree, Computer Science, Statistics, Bachelor's degree, Computer Science, Statistics at University of Virginia
Github Skills (8)
neural-network10
machine-learning10
automl10
python10
tensorflow7
scikit-learn5
api-design5
scikit5
Programming languages (3)
Github contributions (5)
Palashio/libra
Jun 2020 - Jul 2020
Ergonomic machine learning for everyone.
Role in this project:
ML Engineer
ML EngineerContributions:8 commits, 6 PRs, 7 pushes in 16 days
Contributions summary:Pragun contributed to the development of machine learning functionality within the `libra` repository. Their commits focused on adding and organizing utility functions for client models, specifically within the `queries` and `supplementaries` modules. They integrated plotting capabilities and added default values for functions, indicating efforts to improve model usability and streamline the machine learning workflow for users of the library. The changes included the addition of plotting capabilities for model outputs.
pythonmachine-learning-for-everyonedata-scienceneural-networksmachine-learning
pragun-ananda/pragun-ananda
Jul 2021 - Jun 2022
Contributions:78 pushes, 1 branch in 11 months
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