Fernando Segador
Academic Peer Reviewer at CEI: Centro de Estudios de Innovación
Seville, Andalusia, Spain
Summary
👤
Senior🎓
Top SchoolFernando Segador is an AI researcher and practitioner with 11 years of experience applying deep learning to healthcare, cybersecurity, computational geometry and bio-design. He blends academic rigor—PhD in Computer Science and roles reconstructing 3D surfaces and reviewing for Expert Systems With Applications—with hands-on industry delivery as an AI architect and consultant at Capgemini and Inetum. His work spans RL, neural structured learning, CNNs, YOLO, NERF and generative models, and he has deployed models across GCP, AWS and Azure using tools like TensorFlow, PyTorch and LangChain. Notably, he has optimized mRNA secondary structures with DQN and neural structured learning and built attention-based packet analysis for H2020 cybersecurity projects, showing a knack for translating research ideas into production-ready systems. Based in Seville, he also teaches and contributes to innovation centers, combining academic peer review, classroom mentorship and product-focused AI engineering.
11 years of coding experience
5 years of employment as a software developer
University of SevilleMaster's degree Astronomy and Astrophysics, Master's degree Astronomy and Astrophysics at Universidad Internacional de La Rioja
Github Skills (8)
iterative2
pytorch1
unsupervised-learning1
adversarial-learning1
self-supervised-learning1
supervised-learning1
human-activity-recognition1
autoencoder1
Programming languages (1)
Github contributions (5)
FernandoJRS/violence-detection-deeplearning
Oct 2020 - Dec 2022
Contributions:1 release, 164 commits, 110 pushes in 2 years 2 months
FernandoJRS/CrimeNet-ViT-NSL
Jun 2022 - Jun 2024
Contributions:74 pushes, 25 branches, 1 comment in 2 years
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