Especialista En Investigación Y Desarrollo at Nemotec
Granada, Andalusia, Spain
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Summary
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Daniel López is an R&D specialist and data scientist with 11 years of software engineering experience, currently building AI services for the dental sector at Nemotec. His background blends deep academic research—PhD work on federated learning, differential privacy and model integrity—with practical full‑stack development using Python, TensorFlow/PyTorch, Node.js and modern JS frameworks. He has a strong math-and-computer-science foundation from dual degrees and a data science master, and has shipped an award-winning federated learning platform and related surveys from his university research. Comfortable from hardware-level thinking to cloud‑portable Docker workflows, he excels at translating mathematical models into production-ready deep learning systems. Based in Granada and fluent in advanced English, he’s equally at home optimizing NumPy/Cython kernels as designing privacy-preserving ML pipelines for real-world applications.
11 years of coding experience
5 years of employment as a software developer
C1 de ingés, Second Language Learning, C1 de ingés, Second Language Learning at University of Cambridge
Máster en Ciencia de Datos e Ingeniería de Computadores, Mathematics and Computer Science, 8,94, Máster en Ciencia de Datos e Ingeniería de Computadores, Mathematics and Computer Science, 8,94 at Universidad de Granada
Contributions:156 commits, 111 pushes, 8 branches in 2 years 4 months
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Daniel López - Especialista En Investigación Y Desarrollo at Nemotec