Juan Zapata is a machine learning engineer with nine years of experience building production-ready software and AI systems, currently applying ML expertise at EPAM Systems from Bogotá. He blends deep technical foundations from an MS in Computer Science (Machine Learning) at Georgia Tech with hands-on engineering across cloud migrations, recommendation engines, and real-time analytics. His background includes leading an AWS migration and SSO implementation for large marketing platforms, designing recommendation architectures for job marketplaces, and deploying ML solutions on Azure for government and telecom clients. Comfortable across data engineering, model tuning, NLP feature extraction, and cloud tooling, he moves projects from research prototypes to cost-saving production services. Less obvious: he pairs early-career low-level systems and web development experience with recent academic rigor, giving him both implementation grit and a research-driven approach to ML problems.
9 years of coding experience
11 years of employment as a software developer
Systems Engineer, Systems Engineering, Systems Engineer, Systems Engineering at Escuela Colombiana de Ingeniería 'Julio Garavito'
MS Computer Science, Machine Learning, MS Computer Science, Machine Learning at Georgia Institute of Technology
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Juan Zapata - Machine Learning Engineer at EPAM Systems