Laura Priegue
Machine Learning Engineer at Tucuvi
Álava, Autonomous Community of the Basque Country, Spain
Summary
👤
Senior🎓
Top SchoolLaura Priegue is a Machine Learning Engineer with nine years of experience building production-ready ML systems that drive product and business impact. She has a strong track record in NLP and recommendation systems—leading multilabel text classification and item recommendation improvements that cut processing time and boosted functional recommendations by 200%. Comfortable across the ML lifecycle, she’s migrated models to Google Cloud, implemented feedback loops to prevent concept drift, and collaborated closely with product, frontend, backend and QA teams. Trained at UCL in ML and with hands-on roles from research assistant to senior engineer, she combines academic rigor with pragmatic engineering. Based in Álava, Spain, she is committed to ethical, responsible AI and brings an unusual blend of translation and linguistics background that strengthens her work on language-focused models.
9 years of coding experience
6 years of employment as a software developer
University College London
Spanish, English, French, Chinese
Github Skills (15)
sports-data7
api4
athletes4
neo4j4
graph4
statistics4
graph-data-science4
artificial-intelligence3
python3
machine-learning3
science3
data-science2
cypher2
graph-algorithms2
graph-database1
Programming languages (2)
Github contributions (5)
laurabravopriegue/coreNLP_tutorial
Aug 2020 - Jan 2021
Contributions:14 commits, 17 pushes, 1 branch in 4 months
laurabravopriegue/PetiQuiz2
Jan 2017 - Jan 2017
Contributions:3 PRs, 10 pushes, 1 branch in 1 day
reactjavascriptnodejsneedreactjs
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