Bogdan Cebere
Researcher at CISPA Helmholtz Center for Information Security
Dortmund, North Rhine-Westphalia, Germany
Summary
🤩
Rockstar🎓
Top SchoolBogdan Cebere is a researcher and software engineer with seven years of experience building secure, production-grade systems and privacy-preserving ML tooling across academia and industry. Based in Dortmund, he has contributed to cutting-edge projects at CISPA, the University of Cambridge, and the OpenMined community—working on homomorphic encryption libraries like TenSEAL, PySyft improvements, and private-set-intersection bindings. His background spans backend engineering, test automation, and DevOps, with concrete wins in reproducible release automation for Python ML libraries and adding linting/testing pipelines to critical open-source repos. Prior experience at Bitdefender includes networking and firmware work, giving him deep systems and security instincts that inform his research. He combines rigorous academic training from the University of Bucharest with hands-on contributions to privacy-focused open-source ecosystems, often tackling thorny integration and testing challenges that are easy to overlook.
7 years of coding experience
12 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Universitatea din BucureștiMaster's degree, Computer Science, Master's degree, Computer Science at University of BucharestColegiul National "Stefan cel Mare" Targu Neamt
English, Romanian
Github Skills (34)
unit-testing10
pytorch10
github-ci10
pytest10
python10
packaging10
machine-learning10
test-framework10
bash10
python-packaging10
cicd10
package10
githubaction-workflow10
testing9
scroll-wheel9
Programming languages (12)
Github contributions (5)
OpenMined/TenSEAL
Apr 2020 - Jan 2023
A library for doing homomorphic encryption operations on tensors
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:26 releases, 96 reviews, 153 commits in 2 years 8 months
Contributions summary:Bogdan primarily contributed to the development of the Python linter, adding Black, Flake8, and pre-commit hooks for code quality and style enforcement. They also made changes to test files, primarily related to testing tensor operations, including addition, subtraction, multiplication. The code changes involved modification and testing of existing code for the tensor operations.
cryptographymicrosoft-sealcppdocker-imagepython
vanderschaarlab/mlforhealthlabpub
Jul 2021 - Nov 2022
Machine Learning and Artificial Intelligence for Medicine.
Role in this project:DevOps Engineer
DevOps EngineerContributions:4 releases, 3 reviews, 53 commits in 1 year 4 months
Contributions summary:Bogdan focused on automating the build and release process for the CATENets project. This involved creating and modifying release scripts for different operating systems (Linux, macOS, and Windows) to facilitate deployment to PyPI. The commits demonstrate expertise in packaging Python projects, utilizing tools like `setuptools`, `wheel`, and `twine` for distribution. The user's contributions streamlined the software release workflow for the machine learning library.
data-sciencedeep-learningartificialmachine-learningmedicine
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