Pramod Chunduri
Applied Scientist at Amazon Web Services (AWS)
California, United States
Summary
🤩
Rockstar🎓
Top SchoolPramod Chunduri is an applied scientist and Georgia Tech PhD candidate who builds efficient data management systems for AI applications, with a focus on low-latency, high-accuracy query processing for video analytics and LLM-powered retrieval-augmented generation. He has a track record of accelerating complex video queries (e.g., action localization) by up to 20x and developed a system that answers multi-object, multi-attribute video queries. Industry experience includes internships and research roles at Adobe and AWS, where he applied ML to personalized video editing and real-time agentic AI for large-scale data processing. An active contributor to the evadb open-source project, he bridges database engineering and model integration, implementing ML-backed filters and classifier pipelines. Based in California with seven years of experience, he combines academic rigor with production-focused engineering to make AI systems faster, cheaper, and more practical.
7 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Georgia Institute of TechnologyIndian Institute of Technology Kanpur
English, Hindi, Telugu
Github Skills (12)
scikit-learn10
machine-learning10
python10
ai10
scikit10
computer-vision9
databases8
data-analysis8
database8
sql4
agent4
llm4
Programming languages (3)
Github contributions (5)
georgia-tech-db/evadb
Sep 2018 - Nov 2022
Database system for AI-powered apps
Role in this project:
Backend Developer & ML Engineer
Backend Developer & ML EngineerContributions:40 reviews, 20 commits, 11 PRs in 4 years 2 months
Contributions summary:Pramod contributed to the database system for AI-powered apps by implementing and integrating machine learning models. They worked on filter implementations, specifically using LinearSVC and RandomForestClassifiers, suggesting an interest in model training and evaluation. The user also made minor code changes and merged branches, indicating involvement in the project's development workflow.
image-classificationvideogpt-4evaexploratory-video-analytics
georgia-tech-db/QueryOnAction
Mar 2019 - Apr 2019
Contributions:26 PRs, 68 pushes, 21 branches in 1 month
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