Sergio García
Profesor Visitante at Universidad Rey Juan Carlos
Alcalá de Henares, Community of Madrid, Spain
Summary
👤
Senior🎓
Top SchoolSergio García is a visiting professor and PhD candidate at Universidad Rey Juan Carlos with 11 years of experience applying machine learning, reinforcement learning and computer vision to optimization, modeling and data-generation problems. He combines academic research—highlighted by a 2023 Neural Computing & Applications paper on deep reinforcement learning for automated parameter search—with hands-on project roles in industrial settings such as Tetra Pak and consultancy internships where he developed enterprise C#/.NET and SQL solutions. As a member of the CAPO research group, he bridges theory and practice, advancing applied RL and imitation learning for real-world problems like wastewater disinfection. Fluent in Spanish research and engineering contexts, he brings a pragmatic approach to deploying ML systems informed by prior MES and ERP experience.
10 years of coding experience
Máster Oficial en Visión Artificial, Computer Science, Máster / Postdegree, Máster Oficial en Visión Artificial, Computer Science, Máster / Postdegree at Universidad Rey Juan Carlos
English
Github Skills (13)
hydra9
counting9
python8
planet7
machine-learning7
deep-learning7
cosmology5
stellar5
classifiers4
pythonic4
mcmc3
grid3
vector2
Programming languages (2)
Github contributions (5)
gramuah/weakly-supervised-segmentation
Feb 2018 - Mar 2019
Contributions:5 commits, 4 pushes, 1 branch in 1 year 1 month
gramuah/pose-errors
Oct 2016 - Apr 2021
Contributions:14 commits, 16 pushes, 1 branch in 4 years 7 months
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