Umashankar Sivakumar

Senior Software Engineer

Bengaluru, Karnataka, India4 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in High Performance Computing and AI workload optimization.
Proven track record in developing automation tools for HPC applications.
Strong background in CUDA and machine learning algorithm development.

Stackforce AI infers this person is a High Performance Computing and AI specialist with a focus on automation and optimization.

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Skills

Core Skills

High Performance Computing (hpc)AutomationMachine Learning

Other Skills

Algorithm DesignAlgorithmsC (Programming Language)C++CUDACascading Style Sheets (CSS)Computer ArchitectureData ScienceData StructuresDatabase Management System (DBMS)DatabasesDeep LearningDevOpsDocker ProductsExpress.js

About

Software engineer specialising in HPC and AI workload optimisation, with expertise in system administration and automation. All opinions are my own and does not reflect the opinion that of my employer

Experience

4 yrs 8 mos

Total Experience

4 yrs 8 mos

Average Tenure

4 yrs 8 mos

Current Experience

Amd

3 roles

Senior Software System Designer

Promoted

Dec 2025 – Present · 6 mos

Software System Designer 2

May 2023 – Nov 2025 · 2 yrs 6 mos

Software System Designer 1

Aug 2021 – Apr 2023 · 1 yr 8 mos

Analyzed and profiled the impact of AVX512 vector intrinsics on GROMACS. This study was further used to optimize GROMACS performance using AMD Zen Software Studio for AMD 4th Generation EPYC Processors.
Led the development and maintenance of Spack recipes for HPC Applications within the organization. Evangelized and supported teams globally to adopt and develop Spack recipes. Assisted teams with upstreaming of internal Spack recipes.
Developed an automation tool for containerizing HPC Applications which reduced the deployment effort by over 70%.
Constructed a HPC Cluster from scratch and managed the team’s software and hardware infrastructure requirements.
Built a PoC to unify the organization’s hardware infrastructure for CI/CD and performance validation using OpenStack.

High Performance Computing (HPC)SpackAutomationHPC Apps OptimisationCUDA

Nvidia

HPC/AI Research Intern

Jan 2020 – Jul 2021 · 1 yr 6 mos · Bengaluru, Karnataka, India

Successfully executed Performance and Scaling Analysis (Multi Node and Multi GPU) of DFT-FE codebase on Param Siddhi Cluster consisting of NVIDIA DGX A100 GPUs. Observed 2x performance over DGX V100 GPUs.
Worked with the HPC Team in the acceleration, porting, profiling, and debugging of CPU only Climate Weather System (CFS) codebase onto GPU using OpenACC.
Researched and Developed a model for Indian Classical Music Generation using MuseGAN.
Developed and profiled several Machine Learning Algorithms on GPUs for RAPIDS codebase.
Responsible for the development of YoloV4 for the DeepStream SDK.
Optimized CUDA Kernels for SimNet codebase.

CUDAMachine LearningOpenACCPerformance AnalysisDeep LearningHigh Performance Computing (HPC)