I build production-grade DevOps pipelines and agentic AI systems — the kind of infrastructure that ships fast, observes itself, and recovers before anyone notices something broke.
My current obsession is at the intersection of platform engineering and LLM agents: using tools like Claude Code, MCP, and the OpenAI Agents SDK to build systems that don't just run workloads — they understand them.
Infrastructure & Automation — Kubernetes clusters, Terraform-managed cloud, Ansible playbooks, and CI/CD pipelines in Jenkins and GitHub Actions that go from commit to production with zero manual gates.
Agentic AI Systems — building agents that interact with real infrastructure: LLMs connected to live tools via MCP, autonomous debugging workflows with Claude Code, and multi-agent pipelines using the OpenAI Agents SDK.
AI-Powered Observability (current project) — an intelligent logging and monitoring platform where LLM agents parse distributed system logs, correlate anomalies across services, and surface root causes — replacing alert fatigue with actionable intelligence.
DevOps & Platform
CI/CD
Agentic AI
Automating the boring. Observing the critical. Building what's next.
