Nilay Jain
Founder at Stealth AI Startup
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolNilay Jain is a software engineer with 11 years of experience building scalable systems and applying machine learning to practical problems, currently based in Bengaluru and founding a stealth AI startup. He spent five years at Google working on LLM-driven large-scale code migrations and developer assistance, and earlier roles span platform and distributed systems engineering at Directi and ML engineering at ConcertAI. Nilay contributes to open-source ML infrastructure—adding C++ feature-extraction, pooling strides, and indexing utilities to the well-regarded mlpack library—demonstrating low-level performance work alongside higher-level ML application. He combines production-grade distributed systems experience with hands-on ML research and engineering, and has a track record of shipping complex components like parts of GoogLeNet and object-detection algorithms during his internship projects.
11 years of coding experience
9 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Github Skills (12)
machine-learning10
c-language10
cpp10
cprogramming-language10
cplus10
deeplearning-ai9
deep-learning9
algorithms8
data-structures8
algorithm8
data-structure8
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
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.