Summary
Carolina Trejos is a Data & AI Expert Consultant and senior backend engineer with a decade of experience designing cloud-native, data-intensive systems using Python and AWS. She specializes in scalable architectures, distributed services, and resilient APIs, with hands-on work in FastAPI, PySpark, MLflow/Databricks MLOps, and infrastructure-as-code via AWS CDK. Carolina has improved observability, deployment traceability, and pipeline reliability across autonomous vehicle, geospatial, and large-scale data platforms, and introduced automated version-tracking and standardized logging patterns that cut debugging time. She pairs strong systems analysis—identifying architectural bottlenecks and migration paths—with developer mentorship and community teaching in the Python ecosystem. Based in Medellín, she combines formal AI training with practical security and performance optimizations, such as migrating critical services and databases to more scalable architectures.
10 years of coding experience
7 years of employment as a software developer
Especialización en Inteligencia Artificial, Especialización en Inteligencia Artificial at Universidad Nacional de Colombia
Ingenieria de Sistemas y Computación, Ingeniería de software, Ingenieria de Sistemas y Computación, Ingeniería de software at Universidad Tecnológica de Pereira
SENA: Servicio Nacional de Aprendizaje
Spanish, English