Charitha Saumya
Deep Learning Compiler Engineer at Intel Corporation
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolCharitha Saumya is a Deep Learning Compiler Engineer with nine years of experience building high-performance GPU compilers and compiler optimizations for AI workloads, currently at Intel in San Jose. A Purdue PhD student in Computer Engineering, he has a strong research-to-product track record—advancing LLVM/ROCm optimizations, symbolic execution acceleration, and tools that extrapolate worst-case loop behavior for scalability analysis. His internships at Adobe and industry roles demonstrate practical expertise parallelizing AutoML and improving C++/Spark performance, while earlier work spans EDA, distributed file tooling, and performance-sensitive systems. He combines rigorous academic research with production-minded engineering, often focusing on compiler-level transformations that yield measurable GPU and CPU performance gains.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS, Electronic and Telecommunication Engineering, Bachelor of Science - BS, Electronic and Telecommunication Engineering at University of MoratuwaDharmaraja College - KandyThe Chartered Institute of Management AccountantsMaster of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at Purdue University
English
Github Skills (19)
modular8
toolchain7
clang7
llvm6
compiler5
testing4
testcase4
doctest3
c-compiler2
javascript2
visual-programming-language2
creative-commons2
heterogeneous2
opencl1
cuda1
Programming languages (4)
Github contributions (5)
charitha22/XSTRESSOR
Oct 2018 - Feb 2021
Contributions:20 commits, 7 pushes, 1 branch in 2 years 4 months
charitha22/cgo22ae-darm-code
Nov 2021 - Mar 2022
Contributions:5 commits, 5 pushes, 1 branch in 4 months
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