Pablo Viana

GenAI For Banking Operations - Senior ML Scientist

Madrid, Community of Madrid, Spain
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Summary

👤
Senior
🎓
Top School
Pablo Viana is a Lead Data Scientist with a decade of experience building production-ready AI systems in high-stakes financial environments, combining applied mathematics and economics with an MSc in Artificial Intelligence. He specializes in GenAI, retrieval-augmented systems, recommendation and ranking engines, and self-supervised representation learning, having led cross-functional teams at BBVA AI Factory to deploy solutions that read scanned documents, navigate massive data lakes, and detect messaging inconsistencies with explainability in mind. Pablo thrives at the R&D–productization boundary, turning embedding spaces and LLMs into measurable business value and operational tools used by stakeholders. He pairs rigorous experimentation (contextual bandits, uplift modeling interest) with practical engineering—Docker, LangChain, Qdrant, OpenSearch and production pipelines—ensuring models work beyond the lab. Based in Madrid, he’s open to roles in internet, e-commerce, retail, travel or finance where personalization, causal inference, or uplift modeling are needed.
code10 years of coding experience
job5 years of employment as a software developer
bookMaster of Science Artificial Intelligence, Master of Science Artificial Intelligence at The University of Edinburgh
bookBachelor of Arts - BA Economics, Bachelor of Arts - BA Economics at Instituto Tecnológico Autónomo de México
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Github Skills (20)

classifier9
wordnet9
glove8
classification8
document-classification8
lda8
bengali8
latent-dirichlet-allocation8
tf-idf8
word2vec7
topic-modeling7
similarity7
fasttext7
sentence-similarity7
nlp6

Programming languages (1)

HTML

Github contributions (5)

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pjcv89/AutoTag

Mar 2020 - Jul 2020

Contributions:65 commits, 63 pushes, 1 branch in 4 months
pjcv89/Python

Sep 2018 - Nov 2018

Contributions:65 pushes, 1 branch in 1 month
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Pablo Viana - GenAI For Banking Operations - Senior ML Scientist