Rohan Badlani
Research Scientist at NVIDIA
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolRohan Badlani is a research scientist at NVIDIA AI Research with 11 years of experience building and deploying deep learning systems for real-time, multi-modal applications. A Stanford MS in Computer Science with dual specializations in AI and Information Management, he has bridged industry and academia—contributing to audio event detection at CMU, ML-for-systems at TUM, and semantic knowledge graphs at TIFR before product work at Microsoft. At NVIDIA he helped develop the Audio Foundation Model Fugatto, invented a model-composition inference technique for privacy-preserving expert models, and co-created scalable unsupervised TTS alignment and multilingual voice-preserving TTS systems. Comfortable taking ideas from research to production, he blends graph and transformer approaches (applied previously to source code at X) and has a track record of shipping high-impact, real-time ML products. Based in Palo Alto, he pairs systems-level engineering pragmatism with deep research rigor, often tackling problems that require novel algorithmic and deployment trade-offs.
12 years of coding experience
4 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceMaster's degree Computer Science, Master's degree Computer Science at Stanford UniversityStanford Ignite Business Administration and Management General, Stanford Ignite Business Administration and Management General at Stanford University Graduate School of BusinessR N Podar School - MumbaiDelhi Public School - Mathura Road, New Delhi
Hindi, English, German, Sanskrit
Stackoverflow
31reputation
316reached
0answers
1question
Github Skills (40)
sounds10
programming-language10
parallel10
open-source10
distributed-computing10
parallel-computing10
gpu10
scientific-computing10
concurrency10
acoustics9
chapel9
hpc9
graph9
mongodb9
compiler9
Programming languages (8)
Github contributions (5)
rohanbadlani/skeleton-based-coherence-modelling
Mar 2019 - Mar 2019
Contributions:23 commits in 16 days
WS2014/Never_Ending_Learning_Of_Sound
Dec 2014 - Dec 2016
This is a project involving learning sounds of different objects and evolve relationships between objects.
Contributions:44 commits, 15 PRs, 21 pushes in 1 year 11 months
deep-learningsoundsmachine-learningevolve
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