Cristian Fati

Software Developer at Everseen

Cluj-Napoca, Romania
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Summary

👤
Senior
🎓
Top School
Cristian Fati is a pragmatic software developer with over 20 years of hands-on experience building cross-platform systems, from low-level Windows automation to GPU-accelerated inference pipelines. Currently at Everseen, he develops DeepStream/TensorRT-based plugins and hardware interface libraries to optimize ML model performance across partners like NVIDIA and Coral AI. He has a strong Python/C++ background, a history of shrinking build times and hardening production systems, and has contributed bug fixes and features to well-known open-source projects such as pywin32 and pywinauto. Comfortable across embedded, desktop and cloud stacks, he combines systems-level rigor with a "get things done" mindset and a proven record of making complex integrations reliable and measurable.
code8 years of coding experience
job19 years of employment as a software developer
bookComputer operator and developing helper, Information Technology, Computer operator and developing helper, Information Technology at Vasile Lucaciu National College, Baia Mare
bookMaster's degree (or equivalent), Computer Science, Master's degree (or equivalent), Computer Science at Technical University of Cluj Napoca
languagesEnglish, French, Romanian
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Github Skills (52)

unit-testing10
pywinauto10
mstest10
python10
py10
dll10
wp-api10
dspic10
setuptools10
testing10
windows10
winapi10
teste10
automation10
ctypes10

Programming languages (6)

C++CJavaScriptJupyter NotebookMarkdownPython

Github contributions (5)

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belangeo/pyo

Sep 2022 - Sep 2022

Python DSP module
Role in this project:
userBack-end Developer
Contributions:13 commits, 6 PRs, 3 comments in 26 days
Contributions summary:Cristian primarily contributed to the Python DSP module by addressing several issues related to code quality and build processes. They fixed issues with `PY_SSIZE_T_CLEAN` declarations, added missing `#define` statements, and corrected potential undefined behavior. They also improved the build process by correctly handling dynamic-link libraries (DLLs) on Windows and refined the integration of third-party packages. Furthermore, they fixed a regression related to the build on Nix and improved error messages in the library.
dtwpythonsynthesisaudiopyo
pywinauto/pywinauto

May 2019 - Jun 2019

Windows GUI Automation with Python (based on text properties)
Role in this project:
userQA Engineer / Test Automation Engineer
Contributions:20 commits, 2 PRs, 14 comments in 21 days
Contributions summary:Cristian primarily focused on improving the quality and reliability of the `pywinauto` library by addressing testing-related issues. Their work involved refactoring and adding unit tests for structures like `RECT` and `POINT`, and correcting logical errors in the equality operator. The user addressed failures in existing unit tests and subsequently corrected introduced bugs, demonstrating a commitment to ensuring the library's functionality. Dummy commits and retriggering tests suggest a focus on maintaining a robust testing suite.
pythonwindows-guigui-automationtesting-toolscustomtkinter
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Cristian Fati - Software Developer at Everseen