Nilay Jain
Founder at Stealth AI Startup
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolNilay Jain is a founder and software engineer based in Bengaluru with 10 years of experience building scalable systems and applying machine learning to real-world problems. He previously led LLM-driven efforts at Google focused on large-scale code migrations and developer assistance and now runs a stealth AI startup. His career spans production ML roles and distributed systems platform engineering, giving him a track record of taking research ideas into reliable production services. An active open-source contributor to the C++ ML library mlpack, he implemented components like GoogLeNet and edge boxes and even backported and tested low-level utilities (ind2sub/sub2ind) and added stride support to pooling layers—demonstrating both algorithmic depth and systems-level C++ proficiency. Known as a pragmatic problem solver, he combines strong software engineering practices with applied ML to deliver production-ready solutions.
11 years of coding experience
9 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Birla Institute of Technology and Science
Github Skills (15)
machinelearning10
machine-learning10
c-plus10
c-language10
c-plus-plus10
c-programming-language10
deep-learning-ai9
deep-learning9
algorithms8
data-structures8
algorithm8
datastructure8
data-structure8
datastructures8
computer-vision7
Programming languages (2)
Github contributions (5)
mlpack/mlpack
Jun 2016 - Jul 2016
mlpack: a fast, header-only C++ machine learning library
Role in this project:
ML Engineer
ML EngineerContributions:7 commits, 7 PRs, 3 pushes in 1 month
Contributions summary:Nilay contributed to feature extraction methods for edge boxes, specifically implementing feature extraction using C++ within the mlpack library. They backported and added tests for the `ind2sub` and `sub2ind` functions, which provide index-to-subscript and subscript-to-index conversions. Additionally, the user added functionality to the pooling layer in the ANN module with stride implementation. Their work demonstrates a focus on extending the machine learning capabilities of the library.
regressionheaderdeep-learningscientific-computingc-plus-plus
nilayjain/mlpack
Jun 2016 - Jan 2017
mlpack: a scalable C++ machine learning library
Contributions:45 pushes, 12 branches in 7 months
scalabledeep-learningmachine-learningmachine-learning-librarylibrary-learning
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