CALIFORNIA, USA • GITHUB.COM/NEOBLIZZ

CURRENT APPOINTMENT

<aside> <img src="https://s3-us-west-2.amazonaws.com/secure.notion-static.com/7f3d0488-6a44-46b9-8d67-61e406f4dd7b/31ujdMt-FhL.png" alt="https://s3-us-west-2.amazonaws.com/secure.notion-static.com/7f3d0488-6a44-46b9-8d67-61e406f4dd7b/31ujdMt-FhL.png" width="40px" /> AMD — Santa Clara, CA

Senior Member of Technical Staff (SMTS) Software Development Engineer – AMD Research and Advanced Development (RAD)

2024 - Present

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EDUCATION

<aside> <img src="https://s3-us-west-2.amazonaws.com/secure.notion-static.com/f0a49524-f879-49cb-85f1-ac22628a0bee/ca97de8f3ee2ccbb875b04047f6d13d7.png" alt="https://s3-us-west-2.amazonaws.com/secure.notion-static.com/f0a49524-f879-49cb-85f1-ac22628a0bee/ca97de8f3ee2ccbb875b04047f6d13d7.png" width="40px" /> University of California, Davis

Ph.D. Candidate & Master of Science, Electrical and Computer Engineering

GPU Load Balancing. Doctoral dissertation, December 2022.

Advisor: Professor John D. Owens

Research Focus: Load Balancing, Parallel Programming, General Purpose GPU Computing, Graph Processing, Computer Graphics, and Machine Learning.

<aside> ⚛️ Muhammad Osama. GPU Load Balancing. Doctoral dissertation, University of California, Davis, December 2022.

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2015 - 2022

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<aside> ⚛️ University of Washington, Seattle

Bachelor of Science, Electrical Engineering

Research Focus: GPU Render Pipelines, Embedded Systems, and Computer Engineering.

2013 - 2015

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PROFESSIONAL EXPERIENCE

<aside> <img src="https://s3-us-west-2.amazonaws.com/secure.notion-static.com/7f3d0488-6a44-46b9-8d67-61e406f4dd7b/31ujdMt-FhL.png" alt="https://s3-us-west-2.amazonaws.com/secure.notion-static.com/7f3d0488-6a44-46b9-8d67-61e406f4dd7b/31ujdMt-FhL.png" width="40px" /> AMD — Santa Clara, CA

Member of Technical Staff (MTS) Software Development Engineer – AMD Research

2022 - 2024

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<aside> <img src="https://s3-us-west-2.amazonaws.com/secure.notion-static.com/0e22aabb-52c0-44fa-98a8-5b422403f470/ca97de8f3ee2ccbb875b04047f6d13d7.png" alt="https://s3-us-west-2.amazonaws.com/secure.notion-static.com/0e22aabb-52c0-44fa-98a8-5b422403f470/ca97de8f3ee2ccbb875b04047f6d13d7.png" width="40px" /> University of California — Davis, CA

Graduate Researcher - Institute of Data Analysis and Visualization

• GPU Load-Balancing for Irregular Workloads
• Gunrock: GPU Graph Analytics
• Essentials: GPU Graph Analytics Simplified
• DARPA HIVE: Benchmark for graph accelerator
• DARPA Software Defined Hardware and NVIDIA Symphony (sparse computation accelerators)
• Multi-GPU Graph Analytics for HIVE Applications

2015 - 2022

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<aside> <img src="https://s3-us-west-2.amazonaws.com/secure.notion-static.com/f9fe4cb0-634b-4fe0-8d2b-646028ada33c/nvidia.svg" alt="https://s3-us-west-2.amazonaws.com/secure.notion-static.com/f9fe4cb0-634b-4fe0-8d2b-646028ada33c/nvidia.svg" width="40px" /> NVIDIA — Santa Clara, CA

Research Intern – Programming Systems and Applications Research Group

• Improved work decomposition for dense linear algebra (GEMM)
• Load-Balanced sparse tensor-dense tensor contractions (SpTT)

Summer 2019/20

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<aside> <img src="https://s3-us-west-2.amazonaws.com/secure.notion-static.com/95f3cfc8-33dc-40dd-a92d-cf73c70e1b49/nvidia.svg" alt="https://s3-us-west-2.amazonaws.com/secure.notion-static.com/95f3cfc8-33dc-40dd-a92d-cf73c70e1b49/nvidia.svg" width="40px" /> NVIDIA — Santa Clara, CA

Software Engineering Intern – CUDA User Mode Driver Group

• Study of application memory access patterns across GPUs using fast interconnects
• Multi-GPU Virtualization in CUDART and CUDA Driver

Summer 2017/18

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<aside> <img src="https://s3-us-west-2.amazonaws.com/secure.notion-static.com/d60535d3-0fcb-4497-a536-3cbe3c57d1a9/intel-header-logo.svg" alt="https://s3-us-west-2.amazonaws.com/secure.notion-static.com/d60535d3-0fcb-4497-a536-3cbe3c57d1a9/intel-header-logo.svg" width="40px" /> Intel Corporation — Santa Clara, CA

Graduate Tech Intern – Client Computing Group

• Scalable Breadth-First Search (BFS) Traversal for Intel’s GPU architecture
• Machine Learning (Computer Vision) KPI Compilation for Intel’s CPU and GPU

Summer 2016

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PUBLICATIONS

<aside> ⚛️ William Hu, Drew Wadsworth, Sean Siddens, Stanley Winata, Daniel Y. Fu, Ryan Swann, Muhammad Osama, Christopher Re, and Simran Arora HipKittens: Fast and Furious AMD Kernels. Ninth Annual Conference on Machine Learning and Systems, MLSys 2026, May 2026.

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<aside> ⚛️

Ryan Swann, Muhammad Osama, Xiaohu Guo, Bryant Nelson, Lixun Zhang, Alex Brown, Yen Ong, Ali Yazdani, Sean Siddens, Ganesh Dasika, Alex Underwood. tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection. arXiv, Feb 2026.

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<aside> ⚛️ Harisankar Sadasivan, Muhammad Osama, Maksim Podkorytov, Carlus Huang, Jun Liu. Stream-K++: Adaptive GPU GEMM Kernel Scheduling and Selection using Bloom Filters. ISC HPC 2025, June 2025.

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