cagatayuresin

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⚙️ About Me

DevOps / Platform Engineer with 4+ years operating production Kubernetes across 50+ enterprise environments — on-premises and hybrid, under strict data-residency and security requirements.

• 🚀 GitOps as a daily driver — Argo CD (+ Image Updater), GitLab CI/CD pipelines with SonarQube quality gates
• 🧯 Reliability end to end — weekly on-call rotations, incident response & root-cause analysis (container runtime failures, etcd overload, disk pressure)
• 📡 Built Observer — an in-house monitoring, alerting & anomaly-detection platform (InfluxDB · Grafana · RabbitMQ · Telegram alerting)
• 🤖 AI infrastructure in production — vLLM / Ollama model serving and RAG retrieval for an SAP-integrated enterprise AI product (semantic search accuracy 65% → ~95%)
• ☁️ Currently — Terraform on AWS (R&D provisioning), preparing AZ-900, and writing my M.Sc. thesis on LLM-based network intrusion detection (Zeek + LangChain)
• 🏠 Homelab — K3s on a VPS with Traefik, cert-manager & Let's Encrypt, self-hosting my own services
• ✍️ Writing about DevOps & infrastructure at cagatayuresin.com

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🎓 Education & Research

• M.Sc. Computer Engineering — Sivas Cumhuriyet University
  Thesis focus: AI-augmented network intrusion detection, Zeek-based log analysis, LLM-assisted DNS tunneling detection
• B.Sc. Computer Engineering — Sivas Cumhuriyet University
  Graduated with Honors · GPA: 3.43 / 4.00
• Undergraduate Study, Electronic Engineering — Bursa Uludağ University
  Strong background in electronics, embedded systems, and low-level technical thinking

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• KubeOwl: Agentic RAG for Kubernetes Operations
• ITBench Explained: AI Agent Benchmark for IT Operations
• Keel for Kubernetes: Simple Automated Deployments from Your Registry
• Automated Deployments on K3s with ArgoCD Image Updater
• Observer Lite: Self-Host It, Watch Everything

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