Sarvesh Relekar
Machine Learning Engineer at NeuTigers, Inc.
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolSarvesh Relekar is a Machine Learning Engineer and NYU Courant MS student with nine years of industry experience and three years focused on deploying deep learning models to edge devices. He has led end-to-end projects that convert time-series health sensor data from smartwatches into on-device DNNs, notably achieving an 84.4% diabetes-detection ensemble and shrinking model size and cloud costs through pruning, knowledge distillation, and CI/CD automation. Comfortable across the ML lifecycle, he has built reproducible pipelines, parallelized large-scale data synchronization (215 GB) and accelerated hyperparameter search by 45% using distributed PyTorch workflows. Earlier work includes published NLP research that used LSTM ensembles to screen candidate responses and production computer-vision apps integrating MobileNet SSD into desktop tooling. Based in the New York City area, he blends practical production engineering with research-oriented methods in NLP, ML and signal processing for wearable health applications.
8 years of coding experience
2 years of employment as a software developer
Master of Computer Science - MS Computer Science, Master of Computer Science - MS Computer Science at New York UniversityBachelor of Engineering - BE Computer Engineering, Bachelor of Engineering - BE Computer Engineering at University of Mumbai
Stackoverflow
3reputation
1kreached
0answers
1question
Github Skills (10)
pyqt6
python6
java4
text-editor2
editor2
android-application1
machine-learning1
backend1
android1
predict1
Programming languages (6)
Github contributions (5)
SAR2652/Flowers-Recognition
Jan 2019 - Dec 2019
Contributions:14 commits, 11 pushes, 1 branch in 11 months
SAR2652/Polynomial-Expansion
Aug 2022 - Mar 2025
Contributions:2 PRs, 152 pushes, 3 branches in 2 years 8 months
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