Raman Kumar
Machine Learning Engineer at Red Hat
Bengaluru, Karnataka, India
Summary
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Rockstar🎓
Top SchoolRaman Kumar is a Machine Learning Engineer with 8 years of experience building full-stack systems and optimizing ML frameworks, currently working at Red Hat after a recent tenure leading UCP frontend and backend efforts at Delhivery. He has shipped high-impact web platforms that serve hundreds of thousands of orders monthly and tens of thousands of business clients, trimming code complexity and improving operational workflows. A hands-on engineer across TypeScript, Java, C++, Python and Objective-C, Raman contributed a substantive patch to PyTorch (torch.median for Apple GPUs) that was merged into v1.12, reflecting deep familiarity with ML internals and cross-platform performance. He balances product-focused delivery with open-source curiosity, actively contributing to Hugging Face and maintaining a public GitHub portfolio. Based in Bengaluru, he combines production-grade engineering for enterprise systems with low-level ML framework development, an unusual cross-disciplinary strength for someone at his stage. In his spare time he treats open-source work as a hobby, using it to explore platform-level challenges and new accelerator support.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at Shri Mata Vaishno Devi University
Stackoverflow
371reputation
439kreached
5answers
1question
Github Skills (117)
transformers10
language-model10
python10
low-code10
databases10
drag10
internal-tools10
flax10
deep-learning10
gpu10
extensible10
gpu-acceleration10
javascript10
graphql-api10
no-code10
Programming languages (7)
Github contributions (5)
Raman-Kumar/Raman-Kumar.github.io
Sep 2018 - Feb 2020
Contributions:5 pushes, 1 branch in 1 year 6 months
Raman-Kumar/pytorch
Nov 2022 - Nov 2022
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:18 pushes, 5 branches in 8 days
pythongpu-accelerationdeep-learninggpuacceleration
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