Sushil Dubey is a Deep Learning R&D Engineer based in Bengaluru with a decade of experience building AI frameworks and performance-critical systems for industry and research. Currently at Intel, he focuses on applied deep learning research and engineering, having previously developed FPGA protocompiler tooling at Synopsys and GPU-accelerated tracking software for the CMS high-level trigger during a research fellowship at TIFR/CERN. He blends strong C++/CUDA systems expertise with practical ML engineering, delivering production-ready solutions that span low-level hardware-aware optimizations to higher-level AI frameworks. An IISc-linked GitHub presence and an academic background in computer engineering from the University of Mumbai underscore his ability to move innovations from research prototypes into enterprise workflows.
10 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at University of Mumbai
Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)
Contributions:3 pushes, 7 branches in 6 months
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Sushil Dubey - Deep Learning R&D Engineer at Intel Corporation