Curriculum Vitae
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Download CV (EN, PDF) Lebenslauf (DE, PDF)
Roman Windpassinger
Software Engineer — DevOps & AI
Software Engineer at A1 Telekom Austria AG • DevOps & AI Engineer | Infrastructure Automation • Observability • Self-Hosted AI | Kubernetes • Proxmox • CI/CD/GitOps • Prometheus/Grafana
DevOps and AI Engineer with 20+ years in software engineering and infrastructure operations, specializing in cloud-native platforms, infrastructure automation, observability, and self-hosted AI. I design, implement, and operate reliable platforms across Proxmox VE, VMware vSphere, Docker, Kubernetes (Helm), and Red Hat OpenShift, and deliver change through CI/CD and GitOps workflows with GitHub Actions, GitLab CI/CD, Bitbucket Pipelines, and Argo. My work combines hands-on software engineering, metrics-driven operations, low-noise monitoring and alerting, and secure automation. I build self-hosted LLM and agent platforms with MCP/tool-calling, GPU inference, and n8n workflow automation, grounding AI architecture in classical statistics, machine learning, and production-quality engineering. German native, English fluent.
AI & Intelligent Agents: Kandev AI agent, vibe-coding with OpenCode & MD files, Claude Code (Qwen 3.8 27B MTP, DeepSeek v4 Flash, OpenRouter), tool-calling, MCP servers
LLM & Model Self-Hosting: llama.cpp, Ollama, vLLM; NVIDIA CUDA (multi-GPU), AMD GPU/ROCm
CI/CD & GitOps: GitHub Actions, GitLab CI/CD, Bitbucket Pipelines, ArgoCD, Argo Workflows, Argo Rollouts, Git (SVN, WebDAV), JFrog Artifactory (artifact deployment)
Project Management & Collaboration: Jira, Confluence (Atlassian)
Cloud-Native & Containers: Kubernetes (Helm), Red Hat OpenShift, Docker, Docker Hub, Docker Registry (image server), Traefik (reverse proxy / ingress)
Virtualization & Hypervisors: Proxmox VE (LXC, Ceph, GPU passthrough), VMware ESXi (vSphere, vCenter)
VM Management: Portainer, Lens
Cloud Platforms & Hosting: AWS, IONOS, Hetzner, Exoscale (API, load balancer), Netcup
Object Storage / S3: S3 buckets (AWS & Exoscale), Ceph (S3-compatible)
Workload Automation: Automic (UC4) — administration & coding; n8n (WebSockets, AI-agent automation); Home Assistant automation
Smart Home & IoT: Home Assistant, MQTT, Zigbee, Matter, Whisper (GPU voice)
Storage & Backup: ZFS, LVM, NFS, Ceph cluster, rsync backup strategy
Linux & Operating Systems: Ubuntu, Debian, Red Hat, CentOS, Rocky Linux
Monitoring & Observability: Grafana, Prometheus (PromQL), VictoriaMetrics (vmagent), Prometheus Alertmanager; Zabbix, Nagios, Icinga, cAdvisor, Glances, Wetty, nmon, SNMP metrics
Big Data & Observability: Elasticsearch / OpenSearch (Query DSL, ingest pipelines, index mappings), Logstash, Telegraf, Fluent Bit
Data Engineering & Lakehouse: PySpark medallion lakehouse (bronze / silver / gold) with feature store; ML forecasting and RAG over KPI time series behind an AI prompt web UI (proof of concept)
Networking & VPN: WireGuard, OpenVPN, IPsec, SSL VPNs; Cubro Packetmaster (network packet broker) administration
Firewalling & Routing: iptables, ipchains, firewalld, IPFire; NAT, VLAN, DHCP, routing
Security & IAM: Authelia (SSO/2FA), fail2ban; SSH key pairs (authorized keys)
DNS & Reverse Proxy: Cloudflare, BIND, Nginx Proxy Manager, Traefik
Web Servers & Proxying: Node.js, HTML, CSS, Apache, Nginx (load balancing), SSL/TLS certificates (Let’s Encrypt)
Data Formats & APIs: XML, JSON, YAML, XML-RPC
Databases & Storage Engines: PostgreSQL, MySQL, MariaDB, Oracle, Neo4j (graph, Cypher), DL/1 (IMS)
Programming Languages: Go, Python, PowerShell, JavaScript (Node.js), PHP, ASP, Java, C++, C, Perl, Visual Basic, Pascal, Prolog, IBM Assembler (mainframe)
IDE & Development Environment: Visual Studio Code, IntelliJ IDEA, Eclipse
Languages: German (native), English (fluent)
Reference Projects
A1 Fixed Network Billing / Interfaces: Automation of workflows and interfaces, KPIs, monitoring and reports.
A1 Mobile Billing: Infrastructure and deployment.
BMI: Security and project analysis of the existing BMI KPI and monitoring processing implementation.
Core Network: Ingestion of Core Network data into the ELK Stack.
Proof of Concept: PySpark reads OpenSearch metrics into a medallion lakehouse with feature store; classical ML forecasting and RAG analysis over KPI time series behind an AI prompt web UI.
Self-Hosted LLM: Self-hosted LLM setup with Llama, Mistral, Qwen and DeepSeek.
Education
HTL Spengergasse (HTBLuVA Wien 5): Höhere Technische Bundes-Lehr- und Versuchsanstalt (Federal Technical College), Vienna — 1992–1997
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Born 15 July 1975 · Vienna, Austria
Download CV (EN, PDF) Lebenslauf (DE, PDF)
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