I am a PhD physicist and AI researcher with 4+ years of R&D experience applying deep learning and scientific data analysis to imaging and sensor data. I enjoy building transformer-based models (Qwen, CLIP, ViT), multimodal retrieval systems, and image segmentation pipelines, using Python as my primary toolkit. I thrive in cross-disciplinary teams and have mentored juniors and colleagues across international collaborations.
My work spans academia and industry, bridging experiments with computation. I have led projects in Portugal, Switzerland, Germany, and the Netherlands, developed reproducible pipelines for materials computation and imaging validation, and designed physics-informed generative models to synthesize data and address class imbalance. I am passionate about turning complex data into actionable insights and scalable workflows.
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