Raul Ramos-pollan
Field Solution Artchitect - GenAI at Google
Colombia
Summary
👤
Senior🎓
Top SchoolRaul Ramos-pollan is a Field Solution Architect for GenAI at Google and a seasoned AI researcher and educator with over 15 years in AI/ML and 25 years in software and distributed computing. He combines hands-on research in deep learning, medical imaging and GNSS with two decades of IT project management and high-performance computing leadership, including directing a national research data center and founding a data analytics consultancy. Raul has bridged academia and industry as a professor, NASA/ESA Frontier Development Lab AI lead, and visiting scientist at Landing AI, delivering practical AI solutions across aeronautics, supply chain, finance and healthcare. He holds a PhD in Informatics Engineering and is notable for translating scalable AI research into production and teaching materials shared publicly. Based in Colombia, he blends global research impact (Google Scholar) with pragmatic industry deployments through frontierX and collaborative projects across Europe and Latin America.
14 years of coding experience
25 years of employment as a software developer
MSc Artificial Intelligence, MSc Artificial Intelligence at Universidade da CoruñaPhD Informatics Engineering, PhD Informatics Engineering at Universidade do Porto
Spanish, English, French, Italian, Portuguese, Arabic
Github Skills (4)
image-data2
python1
image-processing1
data-analysis1
Github contributions (1)
raulramospollan/toolkit
Apr 2012 - Apr 2012
Contributions:12 commits in 13 days
data-analysispythonanalysis-toolkitimage-processingimage-data
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