Daniel Dagnino
Senior Software Engineer at Adas3D Medical
Barcelona, Catalonia, Spain
Summary
👤
Senior🎓
Top SchoolDaniel Dagnino is a Senior Software Engineer with a decade of experience translating research-grade machine learning into production systems across healthcare, audio, and computer vision domains. He combines a PhD-level background in computational physics with hands-on expertise in PyTorch/TensorFlow, distributed training, and Dockerized REST deployments to deliver scalable models from prototype to certified medical devices. Notable accomplishments include building contrastive retrieval at billion-scale image catalogs, state-of-the-art medical image segmentation that outperformed human annotators, and real-time speech enhancement pipelines for CPU-constrained devices. Comfortable with HPC, MPI, and low-level languages like C++ and Fortran, he excels at solving noisy, ill-posed problems and stabilizing training on small or inconsistent datasets. Colocated in Barcelona, he’s driven by turning complex research into robust, measurable products and often bridges interdisciplinary teams to make models practically useful.
10 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Strongly correlated quantum material, Doctor of Philosophy - PhD, Strongly correlated quantum material at Universitat de Barcelona
Catalan, Spanish, English, German
Github Skills (33)
python9
gpu9
ocean8
noise8
fog8
deep-learning8
machine-learning8
wave8
cartesian8
ord8
acoustics7
propagation7
tensor7
neural-network7
numpy7
Programming languages (3)
Github contributions (5)
DanielDagnino/Arduino-Garden-Watering
Jun 2017 - Jun 2018
Contributions:111 commits, 109 pushes, 1 branch in 1 year
DanielDagnino/TrainDLModel_Deploy_DBManagement
Aug 2024 - Oct 2025
Contributions:2 PRs, 15 pushes, 1 branch in 1 year 3 months
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