Srinath Vadlamani is a Principal Performance Engineer with 14 years of experience helping organizations extract breakthrough performance from demanding HPC and scientific applications. With a Ph.D. in Applied Mathematics and a background in fusion plasma algorithm development, he blends deep numerical analysis with hands-on systems tuning across CPUs, accelerators, and HPC toolchains. His career spans roles at ARM, HPE, NCAR and research institutions where he developed and applied performance-analysis tools and adapted climate and plasma codes to modern architectures. Known for translating complex bottlenecks into measurable gains, he bridges research-grade algorithm development and production-ready optimization. Based in Boulder, he combines academic rigor with pragmatic engineering and a knack for finding non-obvious optimization opportunities in legacy and emerging codepaths. Open to opportunities, he brings both consultancy-style impact and long-term platform-thinking to performance-critical projects.
14 years of coding experience
16 years of employment as a software developer
BS Physics, BS Physics at The University of North Carolina at Chapel Hill
Ph.D. Applied Mathematics, Ph.D. Applied Mathematics at University of Colorado Boulder
Github Skills (51)
visualization10
text-editor10
python10
windows10
storage10
linux10
abstraction10
code-editor10
macos10
multiplayer9
tree-sitter9
rust-lang9
parallel-execution9
devtools9
hpc9
Programming languages (10)
TypeScriptCoffeeScriptC++CRustTeXJavaScriptRich Text Format
Contributions:216 commits, 229 pushes in 5 years 7 months
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