Deepak Varshney

Principal Engineer & AI Software Architect at Intel Corporation

Bengaluru, Karnataka, India
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Summary

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Rockstar
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Top School
Deepak Varshney is a Principal Engineer and AI Software Architect at Intel in Bengaluru with two decades of deep expertise in wireless physical-layer systems and recent focus on software for deep learning accelerators. He designs and optimizes complex firmware and baseband architectures for 5G/4G/3G/2G modems, and now applies that low-level performance mindset to accelerate training and inference—especially for large language models—on Intel accelerators. His background spans DSP-centric firmware, fixed-point optimization, multicore PHY controller architecture and HW/SW partitioning, enabling him to analyze bottlenecks across host and device stacks. He has led cross-functional teams to commercialize Layer‑1 modem features and routinely translates standards (3GPP, IEEE) into verifiable implementations. Not obvious from the title: he pairs algorithmic signal‑processing depth with hands‑on kernel development for DL operations, bridging legacy telecom baseband constraints with modern AI workload scaling. He holds an M.Tech in Digital Signal Processing from IIT Madras and mentors engineers while contributing to performance projections and architectural feasibility studies for emerging workloads.
code1 year of coding experience
job10 years of employment as a software developer
bookIndian Institute of Technology Madras
bookBachelor of Engineering, Electronics and Communication Engg., Bachelor of Engineering, Electronics and Communication Engg. at College of Engineering, Guindy
bookCampus School Pantnagar
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Github Skills (12)

inference9
lightning9
cuda9
pytorch9
nlp8
transformer8
llama8
transformers8
llm8
fine-tuning8
natural-language-processing8
bert8

Programming languages (1)

Python

Github contributions (3)

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HabanaAI/optimum-habana-fork

Jul 2024 - Aug 2024

Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)
Contributions:5 reviews in 14 days
huggingface/optimum-habana

Jul 2024 - Feb 2025

Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)
Contributions:3 reviews, 1 comment in 6 months
pytorchnlptransformersbertlightning
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