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.
11 years of coding experience
1 year of employment as a software developer
Information Technology Analyst, Computer Engineering, Information Technology Analyst, Computer Engineering at Universidad ORT Uruguay
Bachelor's degree, Biology/Biological Sciences, General, Bachelor's degree, Biology/Biological Sciences, General at Universidad de la República
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Role in this project:
Technical 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.
Contributions:180 commits, 89 pushes, 2 branches in 2 years 6 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.