Emanuel Pacheco is a software engineer with 8 years of experience building AI-driven and cloud-native systems, currently implementing artificial intelligence solutions at Bancolombia. With a foundation in mathematics and systems engineering and a master's in pedagogy mediated by TIC, he blends strong analytical rigor with a talent for teaching and mentoring. His background spans end-to-end ML work—from data collection and model deployment on AWS SageMaker to production microservices using FastAPI, Docker, and Kubernetes. Emanuel has delivered practical ML products such as YOLO mobile inference, embedding-powered search and recommendations, and MLOps pipelines automated via CloudFormation and CI/CD. He is particularly drawn to bridging traditional backend engineering and AI integration, now expanding expertise in Java/Spring Boot and cloud-native best practices. Colleagues describe him as perpetually curious and effective at turning research prototypes into maintainable production services.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Universidad del Norte
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