Maria Petrova
Project Manager at Intel Corporation
Munich, Bavaria, Germany
Summary
🤩
Rockstar🎓
Top SchoolMaria Petrova is a project manager with 10 years of cross-functional experience, currently leading projects at Intel in Munich where she bridges engineering, DevOps and performance optimization. With a background in applied and computer linguistics (M.A. studies in text analytics), she combines analytical rigor and clear communication to coordinate complex technical workstreams. Her hands-on contributions to Intel's oneDAL open-source library—tuning build configurations, enabling GPU PCA transforms, and integrating ITT profiling—underscore a rare blend of project leadership and low-level engineering fluency. Prior roles in teaching and running a dance studio sharpened her stakeholder management and event coordination skills, making her equally comfortable with technical roadmaps and people operations.
10 years of coding experience
5 years of employment as a software developer
Master's degree, Applied Linguistics and Text Analytics, Master's degree, Applied Linguistics and Text Analytics at Higher School of Economics
Github Skills (13)
compiler-optimization10
oneapi10
build-system10
c-language10
cprogramming-language10
makefile10
machine-learning-algorithms9
algorithm9
machine-learning8
gpu-programming8
analytics8
dockers3
docker3
Programming languages (3)
Github contributions (5)
uxlfoundation/oneDAL
Sep 2019 - Aug 2021
oneAPI Data Analytics Library (oneDAL)
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:16 releases, 49 reviews, 17 commits in 1 year 11 months
Contributions summary:Maria's contributions primarily involve modifying compiler options and build configurations within the oneDAL library. They updated compiler flags for different platforms (Linux, macOS, FreeBSD, and Windows) to enhance security and performance. Furthermore, the user implemented support for the PCA transform algorithm on the GPU. Additionally, they integrated Intel's ITT notify tasks, indicating a focus on performance profiling and optimization.
swrepodata-analyticsanalyticscppdata-analysis
maria-Petrova/daal4py
Sep 2020 - Jul 2024
sources for daal4py - a convenient Python API to DAAL
Contributions:21 pushes, 12 branches in 3 years 10 months
apipythonpython3sources
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