Juan Martínez
Research Scientist at Stealth Startup
Madrid, Community of Madrid, Spain
Summary
👤
Senior🎓
Top SchoolJuan Martínez is a research scientist and software engineer based in Madrid with 10 years of experience bridging mathematics, machine learning, and high-performance data systems. He has driven scalable query engines and interactive data search at Devo, worked on video-analytics AI at Warden Automation, and now pursues research-focused work at Logos Research. Trained academically in mathematics up to PhD-level and with nanodegrees in machine learning and deep learning, he combines rigorous theoretical grounding with practical system-building skills. His contributions span production-grade engineering for thousands of concurrent queries as well as sharpening ML education materials—improving clarity in Udacity’s popular machine-learning notebooks. Comfortable moving between proofs, models, and performant code, he excels at translating complex mathematical ideas into reliable, maintainable software.
10 years of coding experience
Udacity Deep Learning Nanodegree Deep Learning, Udacity Deep Learning Nanodegree Deep Learning at UdacityPhD Student (FPI Severo Ochoa) at UCM-ICMAT-CSIC, PhD Student (FPI Severo Ochoa) at UCM-ICMAT-CSIC at Universidad Complutense de Madrid
Spanish, English, German, French, Italian, Catalan
Github Skills (4)
machine-learning10
jupyter-notebook10
documentation10
python7
Programming languages (5)
Github contributions (5)
udacity/machine-learning
Dec 2016 - Dec 2016
Content for Udacity's Machine Learning curriculum
Role in this project:
Data Scientist
Data ScientistContributions:9 commits, 1 PR in 1 day
Contributions summary:Juan primarily focused on correcting typos and grammatical errors within the project's Jupyter Notebook files. These corrections, concentrated within the "smartcab" project's documentation, involved fixing words like "simluation" to "simulation," "reliabilty" to "reliability," "evironment" to "environment," "interative" to "interactive," "paramaters" to "parameters," "impliciations" to "implications," and "begining" to "beginning". The user's contribution improved the clarity and professionalism of the notebooks by correcting various spelling and grammatical errors. The user also fixed "propogating" to "propagating".
curriculumudacitydata-sciencemachine-learningcurriculum-learning
TungstenHub/tngt-ipe
Aug 2018 - Aug 2021
Contributions:36 commits, 46 pushes, 2 branches in 3 years
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