Teodor Chiaburu
PHD Candidate
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolTeodor Chiaburu is a researcher and software developer with eight years of experience, currently working at Fraunhofer SIT after completing a PhD in eXplainable AI and Uncertainty Quantification at Berliner Hochschule für Technik and TU Berlin. He combines a strong mathematical foundation (BSc in Mathematics), a Data Science MSc, and an unexpected background in linguistics/German studies to approach explainable computer vision from interdisciplinary angles. His research focuses on operationalizing uncertainty in XAI, with applied work in biodiversity computer vision and prior industrial projects building C++ image-processing tools and web monitoring apps. He has hands-on teaching experience in ML and numerical analysis and a track record of translating academic methods into practical software for real-world classification and monitoring tasks.
8 years of coding experience
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Beuth Hochschule für Technik Berlin (ehemals Technische Fachhochschule Berlin)Bachelor of Arts (B.A.), German Studies, Bachelor of Arts (B.A.), German Studies at Humboldt-Universität zu Berlin
Romanian, German, English, French
Stackoverflow
19reputation
3kreached
1answer
3questions
Github Skills (61)
face10
temporal10
prophet10
pytorch-lightning10
temporal-data10
forecasting10
time-series-forecasting10
uncertainty10
pandas9
pytorch9
python9
machine-learning9
tensorrt9
gpu9
ai9
Programming languages (2)
Github contributions (5)
TeodorChiaburu/beexplainable
Jan 2022 - Dec 2022
XAI Experiments on an Annotated Dataset of Wild Bee Images
Contributions:4 releases, 1 review, 94 commits in 10 months
TeodorChiaburu/teodorchiaburu.github.io
Jul 2022 - Aug 2024
Contributions:18 pushes, 1 branch in 2 years 1 month
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