Víctor Gómez is a Senior Applied Scientist at Amazon with a Ph.D. in Computer Science from the University of Granada and eight years applying data mining, machine learning, and AI to real-world problems. His research background on link prediction and network data mining, combined with a visiting fellowship at Imperial College London, gives him a strong foundation in both theory and practical experimentation. At Amazon he has progressed from Applied Scientist to senior roles, translating advanced models into production-scale solutions. Trained in soft computing and intelligent systems, he blends probabilistic and scalable approaches to tackle complex prediction and recommendation tasks. Based in Granada, Spain, he brings a researcher’s rigor to industry challenges and a track record of moving academic insights into impactful products.
8 years of coding experience
5 years of employment as a software developer
Master's degree in soft computing and artificial intelligence, Computational Science, Master's degree in soft computing and artificial intelligence, Computational Science at University of Granada
Contributions:50 pushes, 1 branch in 4 years 2 months
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