Utkarsh Tyagi
Research Engineer at Scale AI
San Francisco, California, United States
Summary
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Top SchoolUtkarsh Tyagi is a research engineer based in San Francisco with eight years of experience bridging academic research and production ML systems across multimodal learning, speech, NLP, and vision. He specializes in video representation learning and long-form video understanding, and has deep expertise in low-resource settings using self-supervised methods and synthetic augmentation. His work is published at top venues (ICLR, ICCV, ACL, EMNLP, InterSpeech, SIGIR) and was developed under advisors like Prof. Dinesh Manocha, reflecting strong research rigor. In industry he’s shipped ML and software at Scale AI and Atlassian and optimized GenAI inference for Samsung Advanced Computing Labs, demonstrating an ability to move models from prototype to resource-constrained deployment. A proficient C/C++, Python, and JavaScript programmer with an MS from University of Maryland and roots at DTU, he blends hands-on engineering with research instincts to tackle practical multimodal challenges. Notably, he focuses on pragmatic low-data solutions—making high-impact models work where labeled data or compute are limited.
7 years of coding experience
5 years of employment as a software developer
Bachelor of Technology, Computer Science, Bachelor of Technology, Computer Science at Delhi Technological University (Formerly DCE)Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of MarylandApeejay School
Github Skills (6)
llama9
paytm4
audio-processing3
python3
speech-processing2
peft1
Programming languages (5)
Github contributions (5)
Utkarsh4430/Autonomous-Tagging-Of-Stack-Overflow-Questions
Jul 2019 - May 2020
Contributions:4 commits, 3 pushes, 1 branch in 10 months
Utkarsh4430/Car-Numberplate-Recognition
Feb 2019 - Apr 2019
Contributions:5 commits, 4 pushes, 1 branch in 2 months
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