Summary
Ludovic Palamède is an AI/ML Platform Engineer with nine years of deep experience building cloud-native, secure, and reproducible ML and data platforms across OpenShift, Rancher, EKS and multi-cloud environments. He combines platform reliability, DevSecOps and infrastructure-as-code expertise—having refactored Terraform to CDKTF and Helm to CDK8s—to make infrastructure programmatic, testable and portable. Recent hands-on work includes deploying Kubeflow and MLFlow pipelines, orchestrating real-time streaming with Kafka and Spark, and running distributed deep learning with Volcano gang scheduling for optimal GPU utilization. He has a strong security posture, from RBAC and Vault-based secrets to Istio and network policies, and a track record of modernizing CI/CD and GitOps practices with ArgoCD, Flux and Tekton. Notably, he built a FastAPI gateway integrating TorchServe and Mistral for an NLP platform and has repeatedly migrated complex workloads from legacy systems into containerized, scalable platforms. Based in Santander, Colombia, he prefers remote roles and maintains an active GitHub presence focused on AI/ML platform engineering.
9 years of coding experience
9 years of employment as a software developer
Universidad de madrid
Certification Hyper-fréquences et CEM, Electrical and Electronics Engineering, Certification Hyper-fréquences et CEM, Electrical and Electronics Engineering at CERGE de Vitry
BigData Architecture Training, BigData Architecture Training at HortonWorks France
Bachelor's degree, Production and IT Management, Bachelor's degree, Production and IT Management at IUT Evry
French, créole et pidgin, Portuguese, Spanish, English, Papiamento