Summary
Yancel Salinas is a Production Engineer and Solutions Architect with 11 years of experience designing and operating cloud-native, GitOps-driven platforms across AWS and Kubernetes. He combines deep backend expertise in Python, Django and data tooling with hands-on infrastructure as code using Terraform, CloudFormation, CDK and serverless frameworks to deliver reliable, observable systems. At Zebrands he led GitOps adoption with ArgoCD/Workflows, GitHub Actions CI and a monitoring stack spanning Prometheus, Grafana and Loki, while previously building scalable payment and financial services backends. A longtime GDG Open organizer, he blends community leadership with practical engineering and has formal training in DevOps, data science and ML鈥攁n uncommon mix that helps him bridge ML projects into production. Based in Peru, he鈥檚 equally comfortable architecting distributed systems and writing the automation that keeps them running.
11 years of coding experience
6 years of employment as a software developer
DevOps Certification, Computer Programming, Specific Applications, DevOps Certification, Computer Programming, Specific Applications at Universidad Nacional de C贸rdoba
ESPECIALIZACI脫N EN DATA SCIENCE MACHINE LEARNING & DEEP LEARNING WITH PYTHON, Computer Science, ESPECIALIZACI脫N EN DATA SCIENCE MACHINE LEARNING & DEEP LEARNING WITH PYTHON, Computer Science at Universidad Nacional Agraria La Molina
Machine Learning con Python, Machine Learning con Python at Universidad Peruana Cayetano Heredia
Engineer's degree, Computer Software Engineering, Engineer's degree, Computer Software Engineering at Universidad Inca Garcilaso de la Vega