Biography
Interested in Machine Learning and Neuroscience. Experienced with algorithms and data structures and a big fan of competitive programming.
I obtained my Master’s degree from University of Bucharest, doing research in out-of-distribution generalization. Previously, I obtained my Bachelor’s degree in Computer Science and Engineering at Politehnica University of Bucharest, doing research in few-shot learning as my final thesis.
During university, I did several internships: at Google Zürich, Amazon Tübingen and Microsoft Redmond, USA. I also worked as a Machine Learning Engineer in industry.
Download my CV.
- Machine Learning
- Computer Vision
- Algorithms
- Neuroscience
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MSc in Artificial Intelligence, 2022
University of Bucharest
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BSc in Computer Science and Engineering, 2020
Politehnica University of Bucharest
Technical Reports
Experience
- Working on compressed LLMs in the Distributed Algorithms and Systems Lab led by Dan Alistarh, developing a writing assistant running entirely on-device: PanzaMail.
- Research on semi-supervised learning in the Statistical Machine Learning group led by Fanny Yang.
- Research on the robustness of diversified model ensembles and on the generalization properties of neural networks. Supervisor: Damien Teney.
- Using large language models to process the transcripts of YT videos for entity linking.
- Generating realistic synthetic data to complement existing training sets.
- Prototyped a headset to help blind persons be more independent..
- Multi-modal environment understanding using Computer Vision.
- Designed and built a fast generic trending system for large scale data.
- Microservices pipeline for ingestion, processing, storing and retrieval.
- Improved Azure’s real-time telemetry monitoring system by generating recommendations that lead to a faster resolution of alerts.
- Developed algorithms for improving the HDR camera mode of phones.
- Researched generic object segmentation and color perception.
- Built a recommender system for a coupon site from scratch.
Honors & Awards
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Poster Award & Scholarship at Synapse AI Symposium 2023 by Bending Spoons in Milan for my research project on model diversity.
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Best Poster Award at Romanian AI Days 2022 conference for presenting my Master’s thesis on Diversifying Vision Transformers for Out-of-Distribution Generalization.
- Travel Scholarship at Synapse AI Symposium by Bending Spoons in Milan
- 1st place at the Computational Geometry & Topology Challenge at ICLR 2021 for our Study on Topological Noise Invariant Features.
- Best Poster Award at Eastern European Machine Learning Summer School (EEML 2020) for presenting my Bachelor’s thesis on Few shot learning by features adaptation with Graph Neural Networks.
- 1st place at Catalyst Coding Contest 2019.
- 1st place at Textract 2018.
- 1st place at ITFest 2017.
- Qualified for the ACM-ICPC Southeastern European Regional Contest (SEERC 2016) as a 1st year student.
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Romanian National Olympiad of Informatics:
- Bronze Medal: 2013, 2015
- Qualified / Participated: 2012, 2014
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Romanian National Olympiad of Physics:
- Bronze Medal: 2012
- Participated: 2010, 2011
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Romanian National Olympiad of Mathematics:
- Qualified / Participated: 2009, 2012