Naresh Singh is a Director and independent researcher with 11 years of software engineering and machine learning experience, blending industry roles at Amazon and Microsoft with deep-learning research done independently. He focuses on neural network architectures and the "learning" dynamics that emerge from simple topological changes, turning research insights into concise, experimental code. His background spans low-level systems work (kernel drivers and reverse engineering at Citrix) to large-scale supply chain simulation at Amazon, giving him a rare full-stack perspective on performance and model behavior. Based in Uttar Pradesh, India, he holds a Master’s in Computer Science from Stony Brook University and brings both academic rigor and product-minded engineering to ambiguous problems.
11 years of coding experience
13 years of employment as a software developer
Bachelor of Technology (B.Tech.) Computer Science, Bachelor of Technology (B.Tech.) Computer Science at Motilal Nehru National Institute Of Technology
Master's degree Computer Science, Master's degree Computer Science at Stony Brook University
PDFs and Codelabs for the Efficient Deep Learning book.
Contributions:3 reviews, 23 commits, 4 PRs in 8 months
javacodelabsdeep-learningmachine-learningpytorch
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