Alejandro Molina
CTO & Co-Founder at CNTR
Frankfurt, Hesse, Germany
Summary
👤
Senior🎓
Top SchoolAlejandro Molina is a CTO and co-founder with eight years of professional experience combining deep academic training—a PhD in Machine Learning from TU Darmstadt—with senior ML engineering roles at Amazon and Apple. He specializes in bringing research-grade AI into production, having progressed from applied scientist roles to principal ML engineer before founding CNTR. Based in Frankfurt, he blends systems thinking from his earlier software architect background with cutting-edge machine learning to design products where AI and human intelligence complement each other. Alejandro's career spans European research labs and US tech giants, giving him a pragmatic, cross-cultural approach to building scalable ML systems. He is motivated by translating academic advances into real-world impact and often focuses on the seam between model capabilities and usable product experiences.
8 years of coding experience
14 years of employment as a software developer
Master of Science (M.Sc.), Computer Science, Master of Science (M.Sc.), Computer Science at The University of FreiburgBachelor of Science (B.Sc.), Computer Science, Bachelor of Science (B.Sc.), Computer Science at EAFITTechnischen Universität DarmstadtDoctor of Philosophy (Ph.D.), Artificial Intelligence / Machine Learning, Doctor of Philosophy (Ph.D.), Artificial Intelligence / Machine Learning at TU Dortmund
Spanish, English, German
Github Skills (25)
mixture-model10
sum-product10
machine-learning10
graphical-models10
statistical-inference10
stochastic-processes10
deep-learning10
sum10
extensible10
spn10
messaging7
chat7
swift6
pad6
signal6
Programming languages (4)
Github contributions (5)
alejandromolinaml/MSPN
Nov 2017 - May 2018
Contributions:3 commits, 1 PR, 2 pushes in 5 months
sum-productdeep-learningsum-product-networkshybridtensorflow
SPFlow/spflow.github.io
Dec 2018 - Jun 2020
Repository for the website of spflow
Contributions:1 PR, 2 pushes, 1 branch in 1 year 6 months
workflow
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