Research Scholar at Georgia Institute of Technology
Atlanta, Georgia, United States
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Summary
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Senior
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Top School
Sagar Gupta is a software engineer and Georgia Tech computer science student with nine years of hands-on experience across ML, systems, and full-stack roles at organizations including Palantir, AWS IAM, and The Washington Post. He has practical generative AI and enterprise systems experience from internships and research positions, and has applied graph neural networks and computer vision to medical imaging problems as well as novel ML methods for protein structure during early research. Sagar contributes to open-source (notably improving code quality in the Terasology voxel engine), signaling a focus on maintainability and engineering rigor beyond algorithm design. Based in Virginia, he blends academic specialization in AI with production-focused software engineering, making him comfortable moving models from prototype to resilient services. He’s keen to take on impactful engineering roles where systems architecture and machine learning intersect.
9 years of coding experience
Master of Technology - MTech, Materials Engineering, Master of Technology - MTech, Materials Engineering at Indian Institute of Science (IISc)
Bachelor of Technology, Metallurgical Engineering, Bachelor of Technology, Metallurgical Engineering at Malaviya National Insitute of Technology Jaipur
Doctor of Philosophy - PhD, Material Science and Engineering, Doctor of Philosophy - PhD, Material Science and Engineering at Georgia Institute of Technology
Contributions:6 commits, 4 PRs, 1 comment in 10 months
Contributions summary:Sagar primarily contributed to fixing various checkstyle issues, removing unused imports, and addressing minor code style issues. These changes involved modifications across multiple Java files, including UI elements, rendering components, and core engine modules. The contributions suggest a focus on code quality, maintainability, and adherence to coding standards within the Terasology project.
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