Amit Adate
Computer Vision AI Intern - R&D at Magna International
Evanston, Illinois, United States
Summary
👤
Senior🎓
Top SchoolAmit Adate is a PhD candidate and graduate student research assistant at Northwestern University specializing in computer vision, deep learning, and optimization with eight years of research and engineering experience. His work bridges theoretical ML and practical vision systems, informed by prior internships and undergraduate research that include a stint at Cisco and VIT. Holding both an MS in Artificial Intelligence and a BTech in Computer Science, he focuses on developing robust models and optimization strategies for challenging vision problems. Based in Evanston, he maintains a personal site to showcase projects and publications, signaling an emphasis on communicating research impact beyond academia. Notably, Amit’s trajectory blends sustained academic rigor with industry-facing research experience, positioning him to translate novel algorithms into applied systems.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Technology - BTech, Computer Science and Engineering, Bachelor of Technology - BTech, Computer Science and Engineering at Vellore Institute of TechnologyDoctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at Northwestern University
Github Skills (7)
lstm10
recurrent-neural-networks10
generative-adversarial-network8
image-compression6
natural-language-processing2
ocr2
computer-vision2
Programming languages (3)
Github contributions (5)
amitadate/PyTorch101
May 2019 - Jul 2019
Contributions:5 commits in 3 months
amitadate/S-LSTM-GAN-MNIST
Aug 2017 - Aug 2019
This repository contains the source for the paper "S-LSTM-GAN: Shared recurrent neural networks with adversarial training"
Contributions:23 commits, 21 pushes, 1 branch in 1 year 11 months
lstmrecurrent-neural-networks
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