Vishwanath Sindagi
Computer Vision Machine Learning Engineer at Apple
United States
Summary
👤
Senior🎓
Top SchoolVishwanath Sindagi is a computer vision and machine learning engineer with 8+ years of R&D experience and current work at Apple building production-grade vision systems. He holds PhD research experience at Johns Hopkins and Rutgers, blending deep learning, domain adaptation and classical vision methods across problems from computational photography to video analytics and surveillance. Vishwanath has driven end-to-end product cycles—research, prototyping and commercialization—at companies including Samsung, Amazon and multiple Apple research internships, and has hands-on GPU/CUDA and OpenCL optimization expertise. He developed practical domain-adaptation methods (e.g., Adaptive SVDD) and led teams that shipped real-time video analytics and image enhancement solutions. Comfortable in C/C++, Python, MATLAB and R, he pairs academic rigor with production engineering to close the gap between novel algorithms and scalable deployments. An atypical strength is his track record of translating research-tested techniques into optimized, ship-ready pipelines for resource-constrained, real-world systems.
8 years of coding experience
9 years of employment as a software developer
B. E, Electrical and Electronics, B. E, Electrical and Electronics at Visvesvaraya Technological UniversityDoctor of Philosophy (Ph.D.), Electrical and Electronics Engineering, Doctor of Philosophy (Ph.D.), Electrical and Electronics Engineering at Rutgers University-New BrunswickDoctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at Johns Hopkins Whiting School of EngineeringMaster of Technology (MTech), Information Technology, Master of Technology (MTech), Information Technology at International Institute of Information Technology
Stackoverflow
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Github Skills (9)
counting9
crowd9
density-estimation8
computer-vision8
multi-task-learning8
deep-learning6
recovery2
pytorch1
pose1
Programming languages (1)
Github contributions (5)
svishwa/ICB2019
Mar 2018 - Jun 2019
Contributions:244 pushes in 1 year 2 months
svishwa/crowdcount-mcnn
Aug 2017 - Nov 2017
Single Image Crowd Counting via MCNN (Unofficial Implementation)
Contributions:18 commits, 2 PRs, 13 pushes in 2 months
deep-learningcrowd-countingsingle-imagecomputer-visioncrowd
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