Genaro Almaraz is a PhD candidate and professor with nine years of experience applying self-supervised learning to cybersecurity problems such as network intrusion, malware, and card-not-present fraud detection. He has led R&D as Lead Research Scientist at Aligo, authored multiple IEEE and domain-journal papers, and translated research into deployed tools for Kubernetes and SDN security. His background includes industry internships at Meta and Apple, hands-on data engineering at scale, and co-founding a product studio delivering web and mobile apps. Genaro blends rigorous academic work—visits to University of Ottawa and Universidad de Antioquia—with practical engineering, publishing reproducible code for production-ready anomaly detectors. Based in Monterrey, Mexico, he bridges research, teaching, and productization, often focusing on explainability and memory forensics alongside self-supervised methods. An underrated strength is his track record of turning academic prototypes into operational services and datasets used for real-world deployments.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Tecnológico de Monterrey
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Universidad Autónoma de Nuevo León
Contributions:57 commits, 60 pushes, 2 branches in 1 year
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Genaro Almaraz - Professor at Aligo - Defensores Informáticos