CV 2-pages CV
Work
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2024.09 - 2024.12 Research Intern
Google DeepMind
Researching video segmentation with a focus on SAM 2, supervised by Stefano Pellegrini, Jasper Uijlings, and Cordelia Schmid.
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2024.06/01 - 2024.08 Guest PhD student
Technical University of Munich and Helmholtz Munich
Conducted research on multi-modal large language models and audio-visual learning under Prof. Zeynep Akata and assisted with teaching a graduate seminar.
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2023.07 - 2024.03 Research Intern + Student Researcher
Google Research
Led research on efficient adaptation of large-scale models under the guidance of Anurag Arnab, Alexey Gritsenko, and Cordelia Schmid. Collaborated with Aleksandra Nowak, Utku Evci, Yann Dauphin from Google DeepMind, driving key innovations in model adaptation.
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2020.11 - 2021.04 Machine Learning Researcher
Everseen
Researched ways of improving tracking systems in real-time multi-camera scenarios
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2018.07 - 2018.09 Junior Software Engineer
Presslabs
Successfully contributed to the development of the open-source MySQL operator for Kubernetes.
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2017.06 - 2017.09 Junior Software Engineer
3Pillar Global
Successfully refactored and optimized critical components of the software and identified and resolved bugs to improve overall performance. Worked in the Decision Lens team.
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2017.02 - 2018.06 Undergraduate Research Assistant
DSPLabs research group at Politehnica University of Timisoara
Selected to develop an interface for the FENP real-time scheduling algorithm collaborating with Cristina and Valentin Stangaciu.
Education
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2021.05 - 2024.08 Tübingen, Germany
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2019.09 - 2020.08 Edinburgh, UK
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2015.10 - 2019.06 Timisoara, Romania
Interests
| Artificial Intelligence | |
| zero-shot and few-shot learning | |
| efficient adaptation for large-scale models | |
| audio-visual learning in the video domain | |
| multi-modal large language models | |
| video semantic segmentation | |
| object detection and tracking |