Nikunj Gupta
Machine Learning Engineer at World Labs
California, United States
Summary
🤩
Rockstar🎓
Top SchoolNikunj Gupta is a Machine Learning Engineer based in California with 9 years of experience building high-performance systems that span research and production. He combines ML compiler and model deployment expertise from roles at AWS and Databricks Mosaic with deep C++/HPC work—contributing to and extending the HPX parallel runtime used by the C++ standard library for parallelism. His background includes research stints at UIUC, ETH Zürich, and Forschungszentrum Jülich where he demonstrated near-linear distributed scalability and optimized runtimes for arm and supercomputing platforms. At World Labs he now focuses on end-to-end performance across the stack, bringing low-level systems rigor to ML engineering challenges. Notably, he has a history of adding resilience and executor integrations to HPX and mentoring Google Summer of Code projects, showing a rare mix of production impact and community-minded open-source stewardship.
8 years of coding experience
4 years of employment as a software developer
Indian Institute of Technology RoorkeeMaster of Science - MS Computer Science, Master of Science - MS Computer Science at University of Illinois Urbana-Champaign
English, French, Hindi
Github Skills (9)
c-language10
parallel10
concurrent10
cprogramming-language10
concurrency10
code-optimization9
cpp8
distributed-systems8
git8
Programming languages (9)
Github contributions (5)
STEllAR-GROUP/hpx
Mar 2018 - Jul 2021
The C++ Standard Library for Parallelism and Concurrency
Role in this project:
Back-end Developer
Back-end DeveloperContributions:24 reviews, 64 commits, 25 PRs in 3 years 4 months
Contributions summary:Nikunj primarily focused on fixing typos and merging branches. The user also made several updates to the HPX runtime system code, including changes to addressing service, performance counters, and thread management functionalities. These modifications involved code modifications that included adding launch policies, synchronizing operations, and improving code efficiency. The user appears to be working on the core backend components of the parallel computing library.
cppconcurrencyc-plus-plusparallelismstandard-library
NK-Nikunj/hpx
Feb 2018 - Oct 2018
The C++ Standard Library for Parallelism and Concurrency
Contributions:93 pushes, 21 branches in 7 months
multithreadingcppconcurrencyc-plus-plusmulti-threading
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