Utkarsh Nath
Senior Machine Learning Engineer at LinkedIn
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolUtkarsh Nath is a Senior Machine Learning Engineer and Ph.D. candidate in Computer Science based in the San Francisco Bay Area with a decade of engineering and research experience spanning generative models, controllable video synthesis, and 3D representations. He blends academic rigor from Arizona State University and NYU with production-focused engineering—at LinkedIn he built a cost- and latency-optimized Agentic Memory RAG that delivered large accuracy and cost improvements for Recruiter data. His background includes full-stack and embedded systems work (from VR interface development to Samsung Smart TV remote services), reflecting a rare fluency across research, systems, and user-facing interfaces. Utkarsh is particularly focused on controllability in generative systems—designing architectures that explicitly manipulate geometric and temporal factors—and often translates theoretic advances into practical pipelines and tooling.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Arizona State UniversityMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at New York UniversityDelhi Public School PatnaBachelor of Technology (B.Tech.), Information Technology, Bachelor of Technology (B.Tech.), Information Technology at Delhi College of Engineering
Github Skills (6)
javascript10
user-interface10
asset-management9
qml9
c-language8
cprogramming-language8
Programming languages (1)
Github contributions (5)
yozlet/interface
Jun 2017 - Oct 2017
Test platform for various render and interface tests for next-gen VR system
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:109 commits in 4 months
Contributions summary:Utkarsh primarily worked on the interface of a VR system test platform. Their contributions include updating the snapshot.js file, which is involved in taking snapshots of the system. They also made changes to the application's core files, and the asset server, including modifications to the user interface and file management features like the addition of collision types, and handling multiple file deletions in the asset browser.
rendervirtual-realitytest-platformopenvropenxr
utkarshgautamnyu/gaming_console
May 2016 - Aug 2016
Contributions:6 PRs, 11 pushes, 3 branches in 2 months
discovery-boardconsolestm32f4-discoverygamingdiscovery
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