Ernesto Aguilera

Senior Cloud DevOps & AI Platform Engineer with 8+ years of experience designing secure, scalable, cloud-native solutions across AWS, Azure, and Google Cloud for enterprise AI/ML products. Currently at Teradata R&D;, architecting a centralized AI platform standardizing LLM/ML access for 100+ enterprise users — managing 400+ microservices on Kubernetes (EKS, AKS, GKE, Rancher) and reducing cross-team incident resolution by 97% (4h to 30min). Proven expertise in LLMOps, agentic AI workflows (LangChain, LangGraph, MCP), multi-cloud GitOps (Flux, Argo, GitHub Actions), and DevSecOps (FIPS, NIST, mTLS, Keycloak, RBAC/ABAC). Polyglot engineer fluent in Python, Java, Go, Rust, C/C++, and Elixir. UNAM Computer Engineering graduate with specialization coursework in NLP, Data Mining, and Pattern Recognition. Seeking senior or lead engineering roles at the intersection of AI infrastructure, cloud-native platforms, and distributed systems.