Alexander Zaitsev
Staff Software Engineer at N-able
Warsaw, Masovian Voivodeship, Poland
Summary
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Rockstar🎓
Top SchoolAlexander Zaitsev is a Staff Software Engineer based in Warsaw with 12 years of experience building resilient, production-grade backend and observability systems. He blends hands-on backend development, DevOps, and security-minded architecture to prevent supply-chain and operational incidents—"SolarWinds-like" risks are a particular focus. His open-source contributions include performance and reliability work on Vector (observability pipeline) and practical enhancements to projects like Tesseract OCR and zip-rs, showing attention to both infrastructure and low-level code quality. Having served as CTO and solution architect roles, he pairs strategic leadership with code-level execution across cloud-native stacks. Trained in physics, mathematics and software development, he brings a methodical, systems-thinking approach to hard reliability problems and observability engineering.
12 years of coding experience
9 years of employment as a software developer
Physics & Mathematics, Physics & Mathematics at Брестский областной лицей им. П.М. МашероваБакалавр, Разработка программного обеспечения, Бакалавр, Разработка программного обеспечения at Белорусский государственный технологический университет
Russian, English
Stackoverflow
31reputation
1kreached
0answers
2questions
Github Skills (36)
c-language10
observability10
qt10
back-end-development10
compress10
ocr10
prometheus10
ocra10
cplus10
compression10
error-handling10
rust10
cpp10
cprogramming-language10
pulsar9
Programming languages (35)
Github contributions (5)
tesseract-ocr/tesseract
May 2018 - May 2018
Tesseract Open Source OCR Engine (main repository)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:22 commits, 7 PRs, 24 comments in 7 days
Contributions summary:Alexander primarily contributed to the Tesseract OCR engine by making small enhancements. These enhancements involved adding `const` keywords and refactoring header inclusions to use C++ style headers. The user also worked on modifications to multiple source files related to the classifier module. Their work focused on improving code quality, maintainability, and potentially optimizing the performance of the OCR engine.
lstmocrmachine-learningocr-enginetesseract
ZaMaZaN4iK/numeric-papers-in-latex
Sep 2019 - Dec 2019
Numeric papers in LaTex
Contributions:18 commits, 4 PRs, 18 pushes in 3 months
latex
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