Kunal Dhawan
Senior Research Scientist at NVIDIA
California, United States
Summary
🤩
Rockstar🎓
Top SchoolKunal Dhawan is a Senior Research Scientist at NVIDIA with nine years of experience building production-grade conversational AI, ASR, TTS and multimodal LLM systems. He has progressed through multiple research roles at NVIDIA NeMo and brings hands-on experience deploying large-scale speech and language pipelines for real-world products, from multilingual ASR and diarization to speaker/style-transfer TTS. Prior roles at Jio and Voicezen show a track record of end-to-end solutions—data collection and annotation strategies, distributed training, and deployment for high-throughput telephony workloads—that substantially improved KPIs like WER and diarization accuracy. He combines strong academic credentials (CMU MS in Data Science, IIT Guwahati B.Tech) with applied innovation—e.g., novel metrics for phantom segment detection and pragmatic use of unlabelled conversational data to boost model performance. Based in California, he contributes to NVIDIA’s open research ecosystem (NeMo) and maintains an active GitHub and Google Scholar presence documenting his research. Colleagues describe him as a pragmatic experimentalist who bridges academic rigor and product-focused engineering.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Technology (B.Tech.), Electronics and Communication Engineering with a minor in Computer Science, Bachelor of Technology (B.Tech.), Electronics and Communication Engineering with a minor in Computer Science at Indian Institute of Technology, GuwahatiHigh School, Computer Science, High School, Computer Science at Delhi Public School RohiniMaster's degree, Data Science, Master's degree, Data Science at Carnegie Mellon University
English, Hindi, French
Github Skills (41)
speaker-diarization10
speech-to-text10
machine-translation10
hindi-language10
speech-synthesis10
multimodal10
text-normalization10
large-language-models10
nmt10
hindi10
deep-learning10
mfcc10
gmm10
generative-ai10
speaker-recognition10
Programming languages (3)
Github contributions (5)
KunalDhawan/ASR-System-for-Hindi-Language
Jan 2018 - Jan 2018
The repository contains all the codes necessary for my project - Automatic Speech Recognition System in Hindi Language ( Project description is available at :- https://goo.gl/eQZkMP) : It containes the code for the following systems - 1) Monophone-HMM system built using HTK toolkit , 2)Monophone-HMM system built using Kaldi toolkit, 3)Triphone-HMM system built using Kaldi toolkit and 4)DNN-HMM system built using Kaldi toolkit
Contributions:28 commits, 27 pushes, 1 branch in 1 day
hindi-languagectcspeech-recognitiongmmproject-description
KunalDhawan/Person-Follower
Aug 2016 - Jul 2020
Contributions:1 push in 3 years 11 months
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