Moushumi Maria

United States
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Summary

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Rockstar
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Top School
Moushumi Maria is a software engineer with over six years of experience designing and developing performant back-end systems, currently working at Lockheed Martin after a multi-year tenure at Intel. She has hands-on experience contributing to Intel’s oneAPI samples—improving platform compatibility, adding algorithmic examples like sparse matrix-vector multiplication and loop unrolling, and keeping code aligned with toolkit releases. Her background spans applied ML research at the University of Washington, where she engineered features and predictive models for surgical outcomes, and teaching object-oriented design. Pursuing an MS in Machine Learning at Georgia Tech, she combines systems-level engineering with a growing specialization in ML. Colleagues describe her as detail-oriented and pragmatic, able to translate research prototypes into robust, portable code across compilers and platforms.
code7 years of coding experience
job7 years of employment as a software developer
bookMaster of Science (MS) Computer Science and Systems, Master of Science (MS) Computer Science and Systems at University of Washington
bookMaster of Science - MS (currently enrolled) Machine learning, Master of Science - MS (currently enrolled) Machine learning at Georgia Institute of Technology
bookBachelor of Science (BSc) Electrical and Electronic Engineering, Bachelor of Science (BSc) Electrical and Electronic Engineering at Ahsanullah University of Science and Technology Bangladesh
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Github Skills (12)

sycl10
oneapi10
c-language10
cprogramming-language10
parallel-computing9
fpga9
gpu8
fortran7
ai5
cpu5
cuda4
python4

Programming languages (2)

C++HTML

Github contributions (5)

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oneapi-src/oneAPI-samples

Jul 2020 - Nov 2020

Samples for Intel® oneAPI Toolkits
Role in this project:
userBack-end Developer
Contributions:4 reviews, 15 commits, 18 PRs in 4 months
Contributions summary:Moushumi's primary contribution focuses on updating and maintaining samples within the Intel oneAPI toolkits repository. The commits involve modifying and improving existing code examples, including updates related to the beta10 release and the addition of new samples such as loop unrolling and sparse matrix vector multiplication. These modifications demonstrate a focus on incorporating the latest features and improvements of the toolkit. This also includes fixing bugs and adapting the existing code to work with different compilers and platforms.
oneapiaicpucudafortran
Samples for Intel oneAPI toolkits
Contributions:45 pushes, 13 branches in 5 months
toolkitsintelintel-oneapi-toolkitsoneapi
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