Srikanth Yalavarthi
Principal Engineer at Marvell Technology
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolSrikanth Yalavarthi is a Principal Engineer based in Bengaluru with eight years of deep expertise in parallel computing, performance optimization, and benchmarking of scientific computing applications. He has progressed through technical leadership roles at Marvell Technology—spanning performance tuning for ARM64 ThunderX processors to machine learning software and firmware engineering—and earlier led HPC application services and parallel programming initiatives across industry and government labs. His background in optimizing weather and climate models for hybrid HPC architectures reflects a strong blend of domain science (M.Tech in Earth System Science) and hands-on systems engineering. Srikanth is adept at squeezing performance from complex codebases and hardware platforms, enabling faster scientific throughput on modern compute stacks. Colleagues value his ability to translate numerical models into scalable, production-ready implementations while mentoring teams through platform migrations and low-level tuning.
8 years of coding experience
8 years of employment as a software developer
Master of Science (M.Sc.), Physics, Master of Science (M.Sc.), Physics at Birla Institute of Technology and ScienceMaster of Technology (M.Tech.), Earth System Science and Technology, Master of Technology (M.Tech.), Earth System Science and Technology at Indian Institute of Technology, Kharagpur
Telugu, English, Hindi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (33)
siemens10
simulation10
filemaker10
weather10
networking10
noaa10
odp10
forecast10
server10
meteorology9
javascript9
opencl9
fortran9
plane9
cpu9
Programming languages (4)
Github contributions (5)
MarvellServer/ThunderX-Toolchain-Build
Jun 2020 - Jul 2020
Contributions:38 commits, 11 pushes in 1 month
syalavarthi/GKL
Jul 2020 - Dec 2022
Accelerated kernel library for genomics
Contributions:1 push, 1 branch in 2 years 5 months
kernelbioinformaticsacceleratedgenomics
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