Pablo Mateo
Founding Engineer (AI Platform)
Terrassa, Catalonia, Spain
Summary
👤
Senior🎓
Top SchoolPablo Mateo is a founding engineer and AI platform specialist with 10 years of experience building full-stack, cloud-native systems that bridge machine learning and production engineering. He combines deep backend expertise in Python and Java with modern frontend skills (React, Vue) and a DevOps mindset (Docker, Kubernetes, Linux) to deliver scalable AI-driven features for digital coaching and enterprise products. Pablo has a history of turning slow manual pipelines into automated, reliable deployments—once shrinking a production pipeline from 10 days to 22 hours—and has contributed to BigML’s Python bindings by improving date/time handling across ML models. His PhD in Telecommunications shapes a rigorous, measurement-driven approach to problem solving, while hands-on firmware reverse engineering and systems automation work reflect a knack for low-level debugging and robustness. Based in the Barcelona area, he thrives in cross-disciplinary teams that connect data science models to intuitive user experiences and enjoys experimenting in the kitchen when not shipping code.
10 years of coding experience
10 years of employment as a software developer
Charles III University of Madrid (Universidad Carlos III de Madrid)Master of Intelligent Systems, Artificial Intelligence, Master of Intelligent Systems, Artificial Intelligence at Universitat Jaume I
English, Spanish, Catalan
Stackoverflow
11reputation
219reached
0answers
1question
Github Skills (11)
machine-learning10
api10
python10
testing10
linear-regression9
unsupervised-learning9
deep-learning7
memory-management6
windows6
linux6
android6
Programming languages (7)
Github contributions (5)
bigmlcom/python
Aug 2019 - Nov 2019
Python bindings for BigML.io
Role in this project:
ML Engineer
ML EngineerContributions:2 reviews, 8 commits, 9 PRs in 3 months
Contributions summary:Pablo's commits primarily focused on enhancing the BigML Python bindings, specifically by adding comprehensive testing for date and datetime input across various machine learning models. Their work included adding tests for anomaly detectors, clusters, and linear regression models. Furthermore, they updated code to support new time formats.
apipythonpython-bindingsbigmlmachine-learning
unmonoqueteclea/dotfiles
Sep 2022 - Apr 2025
Contributions:128 pushes, 1 branch in 2 years 7 months
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