Sep 2025-Dec 2025
AI Computer Vision Engineer | Stealth Start-Up
Evaluated vision and generative AI foundation models on large-scale image/video datasets, fine-tuned VLMs in PyTorch for animation movies.
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Experience
AI/ML engineering, medical imaging research, computer vision, and applied analytics across research and industry.
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2022-2025
Machine Learning Team Lead | Accenture
Led machine learning and generative AI work across applied research, engineering, and client-facing delivery.
2017-2022
PhD Biomedical Engineering | University of Bern
Researched image-based efficacy analysis and predictive modelling for liver tumour ablation treatments.
2016-2017
Graduate Master's thesis project | Philips Research
Completed my Master's thesis on image segmentation and semantic description, implementing skin structure segmentation and classification algorithms that achieved 98% accuracy with Random Forests.
2014-2016
MSc Biomedical Engineering | RWTH Aachen University
Completed graduate studies in biomedical engineering with a focus on imaging, analysis, and computational methods.
2010-2014
BSc Applied Computer Science | Bucharest, Romania
Completed a Philips Research thesis on volumetric capnography respiratory signals, applying MATLAB time series analysis and ML algorithms that achieved 90% respiratory disease classification accuracy.