Summary
Abhishek Narwekar is a research scientist with 11 years of experience building end-to-end machine learning systems, currently improving natural language understanding for Amazon Alexa. He holds an MS in Computer Science from UIUC and dual degrees in Electrical Engineering from IIT Madras, combining strong theoretical foundations with practical engineering. His work spans ML, NLP, CV and ASR, has driven multiple projects to publication in top-tier conferences, and includes algorithmic breakthroughs such as polynomial-time Shapley value computation for signed directed graphs. Prior internships produced sizable datasets and signal-processing innovations (e.g., the PRAV corpus and robust PPG heart-rate estimation), reflecting a knack for creating high-quality data and reproducible research. Based in Sunnyvale, he values readable code and translating research prototypes into production-ready solutions. Notably, he blends academic rigor with product-focused impact—delivering models that move from papers to consumer-facing voice technologies.
11 years of coding experience
Indian Institute of Technology Madras
University of Illinois Urbana-Champaign
English, Hindi, Marathi, Sanskrit, Konkani