Sarang Narkhede is a software engineer at AWS with nine years of experience building end-to-end ML and full‑stack solutions, blending production engineering with applied machine learning. He has a track record of automating large ETL pipelines and data collection—scraping and processing 10k+ documents and analyzing 1.5k+ transcript pairs—to improve accessibility and captioning for Deaf and Hard of Hearing students. Comfortable across Python, Java, MERN, and cloud tooling, he’s deployed models (RoBERTa) behind Flask APIs and integrated custom language models on Azure to boost ASR accuracy. Sarang pairs hands-on system delivery with close user collaboration—working directly with captionists and UI teams—to turn models into useful features. His background (M.S. in Computer Science, applied accessibility projects at RIT) reflects a practical focus on measurable impact and continuous learning.
9 years of coding experience
2 years of employment as a software developer
Master of Science, Computer Science, Master of Science, Computer Science at Rochester Institute of Technology
Bachelor's Degree, Electronics and Telecommunication, First Class, Bachelor's Degree, Electronics and Telecommunication, First Class at University of Mumbai
Contributions:55 commits, 54 pushes, 1 branch in 5 months
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Sarang Narkhede - Software Engineer at Amazon Web Services (AWS)