Jose Vines
Machine Learning Engineer at MDEyeCare
Santiago Metropolitan Area Chile
Summary
👤
Senior🎓
Top SchoolJose Vines is a Machine Learning Engineer and PhD astrophysicist with nine years of experience applying Python-driven data science to real-world problems, from exoplanet discovery using Bayesian transit and radial velocity analysis to production ML in healthcare and foodtech. He currently develops deep learning models for ocular disease pre-diagnosis and has led analytics and ML efforts at Toteat, delivering churn prediction, segmentation, sales forecasting and BERT-based beverage classification. Comfortable bridging research and product, he has validated financial risk models at Deloitte and translated complex probabilistic methods into robust, production-ready pipelines. Based in Santiago, Chile, Jose combines rigorous scientific training with pragmatic engineering—often bringing uncommon Bayesian perspectives to applied ML and visualization challenges.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Astronomy and Astrophysics, Doctor of Philosophy - PhD, Astronomy and Astrophysics at Universidad de Chile
English, Spanish, Japanese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (97)
python10
flask10
data-exploration10
data-engineering10
data-analytics10
data-viz10
superset10
data-visualization10
asf10
data-science10
apache10
astrophysics10
analytics10
business-analytics10
bayesian10
Programming languages (10)
Github contributions (5)
jvines/jvines.github.io
Oct 2017 - Jan 2021
Contributions:92 pushes, 1 branch in 3 years 3 months
jvines/Metodos-Numericos
Sep 2016 - Mar 2019
Contributions:50 commits, 35 pushes, 1 branch in 2 years 7 months
repositoriometodos-numericoscienciametodos
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