Andrés De Montellano is a data scientist with 13 years of experience translating complex physical and cybersecurity problems into production-ready AI and data solutions. Trained as a physicist with a doctorate and postdoctoral work at the Max-Planck Institute, he combines rigorous research (six journal articles) with hands-on software development and DevOps in enterprise settings like IBM and Almato. His recent roles have focused on threat intelligence, end-to-end pipeline development, and operational monitoring of data-driven systems for security customers. Comfortable across academia and industry, he builds reproducible analysis pipelines for high-throughput scientific and security data alike. Based in Böblingen, he pairs deep domain knowledge in asteroseismology and condensed matter with pragmatic engineering practices. Outside work he brings a curious, multidisciplinary mindset—interested in board games and teaching—that helps him communicate complex ideas to diverse audiences.
13 years of coding experience
10 years of employment as a software developer
Bachelor's degree Physics, Bachelor's degree Physics at Benemerita Universidad Autonoma de Puebla
Doctorate in Sciences Applied Physics, Doctorate in Sciences Applied Physics at Centro de Investigación y Estudios Avanzados del I. P. N. (Cinvestav) unidad Mérida
The Teacher Training Course Teaching English as a second language, The Teacher Training Course Teaching English as a second language at The Anglo Mexican Foundation
Contributions:2 releases, 806 commits, 3 PRs in 5 years
lifegoogle-appapp-enginegoogle-app-engine
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