Saumya Shah
Machine Learning Engineer at Apple
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolSaumya Shah is a Machine Learning Engineer with nine years of experience building production ML and NLP systems, currently advancing Siri’s Text-to-Speech voice for Indian English at Apple. With an MS in Computational Linguistics from the University of Washington and a BE in Computer Engineering, she combines linguistic insight with engineering rigor to deliver end-to-end solutions from data collection to model deployment. Her background spans applied research in clinical information extraction, probabilistic record linkage, and voice/NLP features for consumer products, including internships that informed deployed Apple features. She has a track record of turning messy, real-world data into reliable models—evident from projects that automated qPCR report analysis and a Bayesian record-linkage system adopted by a startup. Comfortable across speech, NLP, and probabilistic ML, she focuses on practical systems that improve human–machine interaction.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computational Linguistics, 3.80, Master of Science - MS, Computational Linguistics, 3.80 at University of WashingtonICSE, 94%, ICSE, 94% at Hiranandani Foundation School, PowaiHSC, 90%, HSC, 90% at Pace Junior Science College, PowaiBachelor of Engineering (B.E.), Computer Science, Bachelor of Engineering (B.E.), Computer Science at Dwarkadas J. Sanghvi College of Engineering
English, Hindi
Github Skills (44)
editor9
microsoft9
electron9
visual-studio-code9
vscode-extension9
typescript9
visual-studio9
vscode9
get-started8
tower7
react6
htmx6
python6
javascript6
factory4
Programming languages (5)
Github contributions (5)
noddyaf-sih-2017/Web-App
Apr 2017 - Jan 2018
Contributions:9 commits, 7 pushes, 2 branches in 9 months
shahsaumya/DJACM-BEPapers
Jan 2017 - Nov 2017
Contributions:7 commits, 2 pushes, 1 branch in 9 months
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