John Suárez is a seasoned data engineer and researcher with 12 years of experience building AI-powered data platforms, recommendation systems, and web-based knowledge applications. He blends a master's-level background in semantic web research from USP with hands-on engineering at companies like Globant, IBM, and Disney, specializing in Databricks, Spark, Python, and modern cloud data architectures. John has led AI observability and MLOps initiatives, designed custom models, and implemented end-to-end data lakehouse and pipeline lifecycles across Azure and AWS. His work uniquely bridges research and product: academic projects like SustenAgro and Evolución Web informed production solutions such as Cortex Recommender and Speedy chat-bot generator. Based in Bucaramanga, Colombia, he brings a strong interest in agricultural IT and has delivered blockchain and smart-contract proofs of concept for agri-finance. Colleagues describe him as a creative, self-motivated engineer who turns complex domain knowledge into practical, auditable systems.
12 years of coding experience
8 years of employment as a software developer
Bachelor's degree Systems Engineering, Bachelor's degree Systems Engineering at Universidad Industrial de Santander
Master's degree Computer Science - Semantic web, Master's degree Computer Science - Semantic web at USP - Universidade de São Paulo
Contributions:94 commits, 89 pushes, 1 branch in 3 months
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