Ruben Chevez-Guardado is a technology leader with 9 years of experience building and scaling ML-driven systems in financial services, now directing Onboarding Threat Intelligence at Nasdaq. He pioneered Nasdaq’s first MLOps infrastructure, leading cross-functional teams to deploy fraud detection models that prevented hundreds of thousands in losses and drove major cost and latency improvements. Ruben combines hands-on engineering (Spark, Athena, SageMaker, Jenkins, AWS) with regulatory-aware model governance, having automated CI/CD and model registry workflows that moved research models into production reliably. He mentors engineers across the organization, having onboarded 30+ developers to ML infrastructure best practices, and is skilled at translating complex data pipelines into operational efficiencies. With an MS in Computer Science and a background spanning mechatronics to big-data courses in Taiwan, he brings a multidisciplinary approach that favors pragmatic, auditable solutions.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Memorial University, Newfoundland and Labrador
Summer Course in Machine Learning and Big Data Analysis in Taiwan, Computer Science, Summer Course in Machine Learning and Big Data Analysis in Taiwan, Computer Science at National Tsing Hua University
Computer Systems engineer, Software, Computer Systems engineer, Software at Universidad Tecnológica Centroamericana
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Ruben Chevez-guardado - Director Onboarding Threat Intelligence