Nikhil Gupta

Ml Software Architect @Arm

London, GB
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WORK HISTORY

Jun 2024 — Present

Ml Software Architect @Arm

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GB

System Design Lead & AI Infrastructure Architect for scalable GenAI solutions on Arm® Neoverse Cloud Platform• LLM Inferencing Optimization & Performance tuning PyTorch, TensorFlow & JAX models on Aarch64 using NEON, SVE2 vectorization• HPC & ML Infrastructure Leader driving production-scale generative AI workloads with vLLM, focusing on latency optimization and model acceleration

EDUCATION

2017 — 2021

National Institute of Technology Kurukshetra

Bachelor of Technology - BTech, Electronics and communication Engineering

ABOUT NIKHIL GUPTA

As a Senior Software Engineer with expertise in AI/ML optimization across edge and cloud platforms, I currently serve as a System Design Lead at Arm®, where I technically lead the Arm® Neoverse ML team in developing high-performance GenAI solutions for AI at scale. I architect and optimize LLM inferencing on popular ML frameworks including PyTorch, TensorFlow, and JAX, specializing in Aarch64 performance tuning using advanced vectorization techniques like NEON and SVE2.Previously at Samsung Electronics, I developed heterogeneous on-device AI/ML solutions for mobile and automotive domains, contributing to Samsung\'s Exynos SOC machine learning framework and Neural Processing Unit (NPU) software stack. I optimized and accelerated neural networks across distributed accelerators including NPU, DSP, GPU, and CPU, working on production-level modules for neural network optimization and on-device compiler.My experience spans the full AI/ML spectrum from edge devices to cloud-scale HPC infrastructure, with deep expertise in neural network acceleration, ML infrastructure design, and generative AI optimization. I hold a Bachelor of Technology in Electronics and Communication Engineering from NIT Kurukshetra (2021) and am passionate about advancing AI performance through open source contributions on GitHub.

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Nikhil Gupta — Ml Software Architect at Arm in London, GB | Unifers