Abhinav Garg
Research Engineer at Stanford University
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAbhinav Garg is a research engineer specializing in speech recognition and foundation models, currently working at Stanford's Center for Research on Foundation Models after a decade of industry and academic experience. He built ML research teams and applied speech systems at Samsung R&D in Seoul and consulted on production ML problems for companies like Observe.AI and Jumio. A Stanford CS master’s graduate and IIT Kanpur alumnus, he has taught core NLP, speech, and graph/ML courses (CS224N, CS224S, CS224W) to graduate students, bridging classroom rigor with practical system-building. Based in Palo Alto, he combines deep speech-processing expertise with hands-on production ML experience, and has a knack for translating cutting-edge research into deployed features across large-scale consumer and enterprise products.
11 years of coding experience
5 years of employment as a software developer
Indian Institute of Technology KanpurMaster's degree Computer Science, Master's degree Computer Science at Stanford University
Github Skills (68)
python10
text-to-speech10
automatic-speech-recognition10
speech10
foundation-models10
machine-translation10
multimodal10
data-preprocessing10
ai10
generative-ai10
fine-tuning10
data-processing10
speech-synthesis10
speaker-recognition10
deduplication10
Programming languages (5)
Github contributions (5)
abhinavg4/abhinavg4.github.io
Oct 2022 - Jan 2024
Contributions:3 pushes in 1 year 2 months
abhinavg4/cosmos-xenna
Jul 2025 - Feb 2026
Python library for building and running distributed data pipelines using Ray
Contributions:6 pushes, 4 branches in 7 months
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