Utkarsh Deshmukh

Machine Learning Engineer at Meta

Sunnyvale, California, United States
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Summary

👤
Senior
🎓
Top School
Utkarsh Deshmukh is a Machine Learning Engineer with a decade of hands-on experience specializing in computer vision, currently building production ML at Meta after recent roles optimizing inference and training pipelines. His background spans automotive perception at Rivian, watermark detection and low-shot recognition systems at Digimarc, and practical model optimization techniques such as quantization and TensorRT conversion at Ambient.ai. He combines research-grade algorithm design (including matched-filter watermark detection and strategies to train with a single image) with production-focused engineering to deliver robust, low-false-positive solutions. Based in Sunnyvale, he maintains an active GitHub where he showcases experimental CV projects and pragmatic tooling that bridge research prototypes to scalable deployments.
code10 years of coding experience
job11 years of employment as a software developer
bookMaster’s Degree Electrical and Electronics Engineering (Focus Area Computer Vision), Master’s Degree Electrical and Electronics Engineering (Focus Area Computer Vision) at Rochester Institute of Technology
bookBharatiya vidya bhavan
bookBachelor of Engineering (BE) Electrical Electronics and Communications Engineering, Bachelor of Engineering (BE) Electrical Electronics and Communications Engineering at Savitribai Phule Pune University
languagesEnglish, Hindi, Marathi
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Github Skills (30)

sandbox10
euler10
null-safety10
coefficients10
perl10
ieee10
image-quality10
dub10
biometrics10
cpp10
lisp10
image-processing9
fingerprint9
javascript9
python9

Programming languages (2)

CPython

Github contributions (5)

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Extract minutiae features from fingerprint images
Contributions:6 commits, 4 PRs, 18 pushes in 2 years 9 months
pythonbiometricsfingerprintminutiae-featuresminutiae
Contributions:1 review, 21 pushes, 1 branch in 4 years 3 months
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Utkarsh Deshmukh - Machine Learning Engineer at Meta