I am an AI/MLOps Engineer focused on building and deploying GenAI, Agentic AI systems, and scalable cloud automation across multi‑cloud environments. My work sits at the intersection of Cloud Engineering + AI Engineering, where I support development teams in deploying AI applications, running experiments, and optimizing infrastructure for modern AI workloads. My technical strengths include: - CloudOps & Multi‑Cloud: AWS, GCP, Azure - AI Engineering: Agentic AI frameworks, LangGraph, model evaluation, orchestration workflows - DevOps & Automation: Terraform, GitLab CI/CD, Azure DevOps, Python, cloud‑native automation - FinOps: Cloud cost optimization, automated cost governance - GenAI: Prompt engineering, RAG workflows, AI‑driven automation I have a proven track record of reducing manual processes by up to 90%, improving cloud cost visibility, and enabling faster, more reliable deployment pipelines. I enjoy designing systems that blend automation, intelligence, and operational excellence. Beyond engineering, I’m a top technical writer with 7K+ followers and 300K+ reads, sharing insights on cloud automation, GenAI engineering, and AI‑first workflows. I’m passionate about simplifying complex concepts and helping engineers adopt emerging technologies with confidence.
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Web: richardwarepam.com
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