Sergio Sulca is a DataOps and MLOps engineer with a decade of experience designing and operating production data platforms across cloud and on-prem environments in Argentina. He builds end-to-end pipelines, validation and monitoring systems using Python, Airflow/Prefect, dbt, Great Expectations/Soda, MLflow and containerized deployments on AWS and Kubernetes. His background spans embedded/FPGA research and SDN security early in his career, which gives him a systems-oriented perspective when optimizing data flows and model deployments. At MUTT DATA he delivers big-data solutions and earned hands-on experience with CI/CD, observability and Amazon RDS service delivery in the APN program. He also mentors data science students, combining practical engineering discipline with teaching experience.
9 years of coding experience
3 years of employment as a software developer
bachelor's degree in Applied Sciences, bachelor's degree in Applied Sciences at Facultad de Ciencias Exactas Físicas y Naturales
Computer Engineering, Computer Engineering at Universidad Nacional de Córdoba
Contributions:2 PRs, 15 pushes, 3 branches in 2 years 4 months
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