Akarsh Zingade
Student
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolAkarsh Zingade is a senior machine learning engineer with nine years of experience building production computer vision and deep learning systems across startups and industry leaders like NVIDIA, Cisco, Infrrd and Uber. He has led teams to ship real-time models and SDKs (notably Audio-To-Face-2D and 3D body-pose pipelines at NVIDIA), improved accuracy and inference speed through architecture and data work, and integrated MLOps practices for reliable deployment. His background blends Columbia University research on weakly supervised visual profiling with hands-on automation and systems work at Cisco, where an automation he developed cut a 300-hour task to under an hour. Comfortable prototyping quickly and scaling solutions into products, he pairs technical depth in image classification, detection and similarity with a track record of leadership, awards, and cross-functional delivery.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Engineering (B.E.), Telecommunications Engineering, Bachelor of Engineering (B.E.), Telecommunications Engineering at PES UniversityMaster of Science - MS, Electrical Engineering, Master of Science - MS, Electrical Engineering at Columbia University
Github Skills (9)
mnist4
explore3
adversarial-learning3
robustness2
machine-learning2
adversarial-attacks2
neural-network1
pytorch1
deep-learning1
Programming languages (1)
Github contributions (5)
akarshzingade/image-similarity-deep-ranking
Dec 2017 - Jul 2018
Contributions:27 commits, 2 PRs, 25 pushes in 7 months
akarshzingade/Logo-Detection-YOLOv2
Nov 2017 - Jan 2018
Contributions:13 commits, 11 pushes, 1 branch in 1 month
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