Aakash Kaushik
Software Engineer at Lyric
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolAakash Kaushik is a pragmatic software engineer with 8 years of experience building production-grade AI systems, distributed infrastructure, and cloud-native services across startups and research labs. He has shipped high-throughput platforms—everything from a proxy serving 1M+ LLM requests/day to a multimodal document pipeline processing 100K documents daily—and designed cost-saving infrastructure like a cloud-agnostic file system and BYOC engine. Comfortable across C++, Go, and Python, he contributes to prominent open-source projects such as mlpack (adding MAPE and softmin activations and migrating tests) which underscores his low-level ML and systems expertise. Based in Bengaluru, he blends MLOps rigor with full-stack engineering to close the gap between models and scalable deployment, and has authored millions of lines of production code while frequently improving model builders and testing pipelines.
8 years of coding experience
4 years of employment as a software developer
Nand vidya niketanair force schoolBachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at SRM University (Sri Ramaswamy Memorial University)
Github Skills (10)
neural-network10
machine-learning10
c-language10
loss-functions10
deep-learning10
cpp10
cprogramming-language10
cplus10
testing9
regression9
Programming languages (7)
Github contributions (5)
mlpack/mlpack
Sep 2020 - Oct 2021
mlpack: a fast, header-only C++ machine learning library
Role in this project:
ML Engineer
ML EngineerContributions:115 reviews, 107 commits, 26 PRs in 1 year
Contributions summary:Aakash implemented a new loss function, Mean Absolute Percentage Error (MAPE), within the `mlpack` machine learning library. This included creating the header and implementation files for the function, along with tests to ensure its correctness. The user also added a softmin activation function, improving the library's capabilities for neural network applications. Furthermore, the user made updates related to python package upgrades and other enhancements.
regressionheaderdeep-learningscientific-computingc-plus-plus
Aakash-kaushik/models
Mar 2021 - Sep 2021
mlpack models (description to be improved)
Contributions:19 PRs, 190 pushes, 16 branches in 5 months
improved
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.