Natarajan Shankar
Graduate Student Researcher
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolNatarajan Shankar is a Ph.D. student and graduate researcher at UCLA specializing in machine learning for robust speech processing, with 13 years of experience across academia and industry. Under Dr. Abeer Alwan, he has developed non-autoregressive transformer ASR systems, unsupervised domain adaptation methods that achieved a 29% relative WER reduction on noisy speech, and frameworks for dialect density estimation and child-focused QA from long audio. He combines signal-processing roots (published work on medical imaging enhancement) with practical ML deployments from internships at Qualcomm and KLA, focusing on low-resource domains like children’s speech and African-American English. Natarajan is also experienced in teaching core programming and speech processing courses, and is pursuing adaptation strategies for untranscribed speech and bias mitigation in LLMs used in education.
13 years of coding experience
Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering at National Institute of Technology, TiruchirappalliMaster of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at University of California, Los Angeles
English, Tamil, French, Arabic, Hindi, German
Github Skills (4)
verification10
tlaplus9
php9
laravel9
Programming languages (1)
Github contributions (5)
SRI-CSL/pvs-playground
Nov 2024 - Dec 2024
Contributions:6 pushes in 1 month
SSFT-SRI/SSFT-SRI.github.io
Jan 2025 - Feb 2025
Contributions:7 pushes in 3 days
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