I'm a DevOps Engineer evolving into AI Engineering — 13+ years of building cloud-native infrastructure, now channeling that foundation into intelligent, AI-powered systems. What started as a curiosity is now becoming a craft. Today, my work lives at the crossroads of DevOps and AI — and I'm actively closing the gap between the two. 🤖 Leveraging AI agents and MCP servers to automate complex DevOps workflows and reduce operational toil. 🛠️ Using LLMs to accelerate debugging, root-cause analysis, and incident response — making teams faster and smarter. ⚙️ Embedding AI into developer tooling and CI/CD pipelines to improve Developer Experience (DevEx) and ship with more confidence. 📐 Standardizing AI-assisted development practices across teams to drive consistency, reduce rework, and raise the quality bar. 🧠 Continuously exploring and prototyping with emerging AI frameworks — ship faster, fail faster, learn faster. Beyond AI, my foundation is deep: ☁️ Multi-cloud architecture across AWS (5x certified) and GCP — 6 years of cloud engineering experience in Toronto, working with HQ teams on AWS onboarding and architecture ⚙️ Kubernetes (CKA), Helm, Terraform, Docker — scalable, resilient platform engineering 🔄 CI/CD, GitOps, infrastructure-as-code at enterprise scale 🐍 Python, Shell, Boto3 — custom tooling that eliminates toil