Bhavin Nayak

Machine Learning Engineer at Apple

California, United States
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Summary

👤
Senior
🎓
Top School
Bhavin Nayak is a Machine Learning Engineer with 11 years of hands-on experience building and optimizing computer vision and computational imaging systems for products at scale. He has driven R&D across Intel and Apple, designing CNN topologies and trainable hardware blocks that bridge research and deployable ISP and vision pipelines, with work published at ICIP and ECCV and protected by patents. His background includes Mars rover camera calibration and sensor algorithm development at ASU, giving him uncommon end-to-end expertise from sensor-level correction to real-time GAN-enhanced inference. Bhavin excels at making networks hardware-friendly—specializing in fixed-function and low-bitrate optimizations—while contributing to imaging cores for face authentication, segmentation and depth tasks. Fast-learning and collaborative, he combines research rigor with pragmatic engineering to deliver innovations that have shipped in commercial hardware.
code11 years of coding experience
job4 years of employment as a software developer
bookMaster’s Degree, Master’s Degree at Arizona State University
bookBachelor's Degree, Bachelor's Degree at Nirma University, Ahmedabad, Gujarat, India
languagesGujarati, Hindi, English
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Github Skills (28)

camera-calibration9
brisk9
sift9
file-parser9
calibration8
image-recognition8
isis8
camera8
detectors8
stereo8
image-processing7
face-recognition7
python7
parser7
face-detection7

Programming languages (1)

Python

Github contributions (5)

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bvnayak/image_recognition

Jan 2016 - Mar 2016

Image Recognition using SIFT and BRISK feature detectors.
Contributions:16 commits, 4 PRs, 13 pushes in 1 month
pythonimage-recognitionsiftface-recognitionrecognition
bvnayak/CAHVOR_camera_model

Mar 2016 - Apr 2016

Contributions:34 commits, 12 PRs, 26 pushes in 1 month
convertingcahvorpythonparameters
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Bhavin Nayak - Machine Learning Engineer at Apple