Jesús Maillo
Senior Machine Learning Researcher at Funditec
Madrid, Community of Madrid, Spain
Summary
👤
Senior🎓
Top SchoolJesús Maillo is a Senior Machine Learning Researcher with 11 years of experience combining academic rigor and industrial impact, holding a PhD in Information Technology from Universidad de Granada. He specializes in scalable k-nearest neighbors and big data methods, translating research into production via collaborations with Repsol and a current role at Funditec. Jesús has taught Big Data and Spark courses, implemented MapReduce instance-based learning, and completed a research fellowship at the University of Nottingham, demonstrating strength in both pedagogy and applied research. Based in Madrid, he focuses on real-world data science problems and has a growing interest in robotics and smart-home automation, bringing a pragmatic bent toward deploying ML on large-scale datasets. Notably, his doctoral work centers on exact, scalable kNN algorithms that bridge theoretical advances and practical system constraints.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Information Technology, Title: Fast k-Nearest Neighbors for Big Data and Smart Data, Doctor of Philosophy - PhD, Information Technology, Title: Fast k-Nearest Neighbors for Big Data and Smart Data at Universidad de Granada
Github Skills (5)
knn4
nearest-neighbors2
neighbors2
spark2
scala1
Programming languages (1)
Github contributions (5)
JMailloH/Smart_Imputation
Jun 2016 - Mar 2019
Contributions:14 commits, 1 push in 2 years 10 months
JMailloH/kNN_IS
May 2016 - Mar 2018
Contributions:6 commits, 1 PR, 16 pushes in 1 year 10 months
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