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Pablo García Mesa is listed as Computer Vision & Machine Learning Engineer | Biomedical Engineering at DeepFarm, based in Madrid, Community Of Madrid, Spain. AeroLeads shows a matched LinkedIn profile for Pablo García Mesa.
Pablo García Mesa previously worked as Computer Vision and AI Engineer at Deepfarm and Computer Vision and Machine Learning Researcher at Universidad Politécnica De Madrid. Pablo García Mesa holds Bachelor Of Science - Bs, Biomedical/Medical Engineering from Universidad Politécnica De Madrid.
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I'm a Computer Vision and Machine Learning engineer with a strong foundation in biomedical engineering, particularly in medical imaging. My expertise extends beyond this domain, as I thrive on diving deep into software development, dissecting advanced neural network architectures, fine-tuning models, and optimizing their performance on edge devices. I'm driven by a passion for creating innovative solutions that address real-world challenges, from initial concept to final deployment, and I’m always looking to broaden my knowledge in this dynamic field.
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Optimize and deploy AI pipelines on embedded systems to ensure high-performance inference while minimizing resource consumption. Conduct Computer Vision and Machine Learning research. Perform full-cycle software development, including designing and implementing scalable AI solutions from prototype to production.
Advanced research on Multiple Sclerosis detection with a focus on developing and implementing deep learning models using 2D and 3D OCT and OCTA images from the macula and optic nerve regions of the retina. Managed the full data pipeline and designed computer vision models for vessel segmentation, optic nerve head location detection, fovea segmentation in.
Madrid
Initiated research on Multiple Sclerosis detection using OCT and OCTA data from the macula and optic nerve regions of the retina. Developed comprehensive machine learning pipelines encompassing data acquisition, preprocessing, model training, evaluation, and deployment into medical tools. Created foundational algorithms for layer segmentation in OCT and 2D.
Developed CNN-based computer vision models for melanoma detection and nevus segmentation, led the development of an Android application integrating these models, and collaborated on backend development by building API and SQL database components. Coordinated and managed the software development team, and participated in public competitions, gaining.
Specialized in: 1. Medical Imaging and Machine Learning (final degree project title: "Design and implementation of tools based on machine.
Recognized as the Student of the Year across all postgraduate Computing programs. 🏆 Specialized in Computer Vision. Master's thesis.
Entrepreneurship program for startups that helped my team and I to start developing Skin4Cloud. This program was the first step in our.
Academica International Studies American High School diploma, Florida
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Pablo García Mesa works for DeepFarm.
Pablo García Mesa is listed as Computer Vision & Machine Learning Engineer | Biomedical Engineering at DeepFarm.
Pablo García Mesa is based in Madrid, Community Of Madrid, Spain while working with DeepFarm.
Pablo García Mesa has worked for Deepfarm, Universidad Politécnica De Madrid, and Skin4Cloud.
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Pablo García Mesa holds Bachelor Of Science - Bs, Biomedical/Medical Engineering from Universidad Politécnica De Madrid.
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