Gaurav Kakkar
Graduate Research Assistant
Atlanta, Georgia, United States
Summary
🤩
Rockstar🎓
Top SchoolGaurav Kakkar is a Ph.D. student and Graduate Research Assistant at Georgia Tech specializing in databases and machine learning, with a decade of engineering experience across industry and research. He designs query optimization and execution techniques to boost resource efficiency for video analytics and LLM-backed applications and leads development of EvaDB, an open-source database for AI apps that has earned 2.7K+ GitHub stars and notable press. His recent work probes trade-offs in natural language to SQL pipelines, balancing accuracy, latency, and cost to make database interactions more usable. Gaurav has interned and collaborated with Google and Snowflake on systems and statistics-driven optimizations and previously shipped ML-powered features at Adobe. He combines rigorous academic training (IIT Kanpur, Georgia Tech) with production engineering—often contributing core executor and query-processor changes in large codebases. A less obvious strength is his track record of turning research prototypes into widely adopted open-source tooling that bridges academia and real-world AI workloads.
10 years of coding experience
3 years of employment as a software developer
Master's degree, Computer Science, 4.0/4.0, Master's degree, Computer Science, 4.0/4.0 at Georgia Institute of TechnologyIndian Institute of Technology Kanpur
English, Hindi
Github Skills (8)
query-engine10
querying10
python10
data-structure9
data-structures9
algorithms8
algorithm8
pandas7
Programming languages (5)
Github contributions (5)
georgia-tech-db/evadb
Oct 2019 - Jan 2023
Database system for AI-powered apps
Role in this project:
Back-end Developer
Back-end DeveloperContributions:11 releases, 835 reviews, 576 commits in 3 years 3 months
Contributions summary:Gaurav contributed to the core functionality of the database system for AI-powered apps. Their commits focused on implementing the query executor, including the creation of an execution tree from the plan tree, and the basic implementation of an abstract executor. They introduced new data models and utility functions within the codebase and made significant changes across the models used by the query processor.
image-classificationvideogpt-4evaexploratory-video-analytics
gaurav274/Eva
Nov 2019 - Nov 2022
Exploratory Video Analytics System
Contributions:3 PRs, 264 pushes, 54 branches in 3 years
video-analyticsanalyticsexploratorymachine-learningvideo
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