Bhavin Nayak
Machine Learning Engineer at Apple
California, United States
Summary
👤
Senior🎓
Top SchoolBhavin 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.
11 years of coding experience
4 years of employment as a software developer
Master’s Degree, Master’s Degree at Arizona State UniversityBachelor's Degree, Bachelor's Degree at Nirma University, Ahmedabad, Gujarat, India
Gujarati, Hindi, English
Github Skills (13)
file-parser9
camera-calibration9
image-recognition8
converting7
python7
opencv7
image-viewer4
scikit1
gdal1
machine-learning1
filetype1
data-science1
scikit-learn1
Programming languages (1)
Github contributions (5)
bvnayak/CAHVOR_camera_model
Mar 2016 - Apr 2016
Contributions:34 commits, 12 PRs, 26 pushes in 1 month
convertingcahvorpythonparameters
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
image-recognition
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