Guzmán López

Senior Machine Learning Engineer at Tryolabs

Lisbon, Portugal
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Summary

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Senior
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Guzmán López is a Senior Machine Learning Engineer based in Lisbon with 11 years of experience building production ML systems across predictive analytics, computer vision, recommender systems, unsupervised learning, log-based anomaly detection and geospatial analysis. At Tryolabs he delivers AI consulting and Python backend solutions that tie research-grade models to business impact, including explainability and cybersecurity-focused pipelines. He also has domain experience in operational meteorology from his time at Uruguay’s national weather service, bringing practical exposure to large-scale environmental and geospatial datasets. An active open-source collaborator, he has improved documentation and added datasets to the PyTorch Geometric Temporal project, helping make spatiotemporal ML tools more usable for others. Trained in biology and computer engineering, he blends quantitative life-sciences intuition with strong engineering practices to tackle interdisciplinary problems.
code11 years of coding experience
job1 year of employment as a software developer
bookInformation Technology Analyst, Computer Engineering, Information Technology Analyst, Computer Engineering at Universidad ORT Uruguay
bookBachelor's degree, Biology/Biological Sciences, General, Bachelor's degree, Biology/Biological Sciences, General at Universidad de la República
languagesSpanish, English, Portuguese
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Stackoverflow

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417reputation
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7questions
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Github Skills (14)

pytorch10
documentation10
data-set9
datasets9
python8
kml6
html6
href6
twitter6
shiny6
social-networking6
r6
rtweet6
pagination6

Programming languages (9)

RC++CSSRustTeXJavaScriptHTMLJupyter Notebook

Github contributions (5)

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PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Role in this project:
userTechnical Writer
Contributions:5 commits, 5 PRs, 1 comment in 1 month
Contributions summary:Guzmán primarily contributed to documentation and dataset additions for the PyTorch Geometric Temporal library. Their commits included fixing typos, improving the documentation by updating resources, and adding a new dataset for Montevideo bus passenger inflow. These contributions indicate a focus on enhancing the usability and clarity of the library through documentation and dataset provision.
node-embeddingsignalsignal-processingspatio-temporal-analysisgraph-convolution
guzmanlopez/AISVMS_vis

Mar 2016 - Sep 2018

Contributions:180 commits, 89 pushes, 2 branches in 2 years 6 months
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