Terraform Experts in Austria

• Designed and built a next-generation NLP platform to accelerate sales-driven customer service through intelligent request analysis and routing, reducing average customer query response time by 30%.
• Architected a hybrid NLP system combining Large Language Models (LLMs) with traditional NLP pipelines for robust, explainable results.
• Developed request classification and routing mechanisms to accelerate customer support teams in handling customer queries faster and more accurately.
• Optimized LLM based data extraction and classification with context engineering.
• Integrated the platform into customer service processes, reducing response times and enhancing workforce efficiency.

• Architected and deployed a highly available, multi-tenant Kubernetes platform on Google Kubernetes Engine (GKE) for business-critical microservices.
• Designed and implemented a comprehensive Infrastructure-as-Code strategy using Terraform for managing GKE clusters, networking (VPCs, Subnets), and IAM policies.
• Engineered optimized storage solutions for stateful workloads (MongoDB) using GKE PersistentVolumes, enhancing performance and data resiliency.
• Established a full-stack observability framework using Google Cloud Monitoring, Logging, Prometheus, and Grafana.

Project Tech Stack: Python, AWS, Azure, FastAPI, openai, pandas, unittest/pymock

Achievements:

• Engineered automated data extraction pipelines to transform complex Excel datasets into structured formats via LLM-driven workflows.
• Architected a generative slide-deck engine that translates natural language prompts into formatted presentation assets.
• Integrated advanced LLM capabilities with the OpenAI Response API, implementing sophisticated tool-calling and structured output logic.
• Developed and containerized scalable backend microservice using FastAPI, Docker, and OpenShift to host and serve agentic skills.

Focus:

• Developing and providing Cloud Native Courses
• Architecture Consulting for Platform Engineering and Cloud Native
• Supporting Teams and People on their Cloud Native Journey

Delivered Trainings:

• Kubernetes Fundamentals - From Pods to Ingresses; 2 Days
• Platform Engineering on GKE - Operators, GitOps, Gateway API, Policy Management, Storage; 2 Days
• Platform Engineering on AKS - GitOps, External Secrets, Policy Management, Ingress/Gateway API and Storage; 4 Days

Currently In Progress:

• Platform Engineering Basic / Advanced on OpenShift - OpenShift/Kubernetes Basics, GitOps, External DNS, External Secrets; Multi-Step Program with 2 Course Blocks (3 and 2 Days) and self-paced projects

• Supports CANCOM customers in migrating legacy on-prem systems to Microsoft Fabric and Microsoft Foundry
• Takes over and stabilizes existing solutions after a short handover
• Business analysis and requirements engineering for migration to a new cloud environment
• Optimization of machine learning models for feature extraction and customer profiling
• Ensures data protection and compliance
• Leads the migration of on-prem systems to Microsoft Fabric
• Designs new AI platforms for clients
• Tests the integration of chatbots for document intelligence with Microsoft Foundry, including requirements analysis, implementation, validation, and client communication

• Owned day-to-day IT operations for Service Desk, Field Service, and on-call support, ensuring business continuity for a multi-site environment
• Led the transition from Lotus Notes incident tracking to ServiceNow, defining process design, workflows, roles, and reporting
• Implemented a modern telephony system with integrated reporting, enabling real-time visibility of volumes, wait times, and SLA adherence
• Launched a customer self-service portal and on-site walk-in support model to improve first-contact resolution and user experience
• Designed, documented, and rolled out SLAs, delivering targeted training for engineers and stakeholders to drive adoption and compliance
• Acted as process owner for service operations, establishing operating procedures, request/change/incident interfaces, and quality controls
• Partnered with business and IS/OT stakeholders to prioritize demand, reduce operational risk, and improve service reliability

• Development of a Custom Jenkins Shared Library (Groovy)

• Integration of security checks in CI/CD pipeline (Shift-Left Approach)

• Automated vulnerability scanning and remediation workflows

• GitOps-based deployments with ArgoCD

• Semantic versioning automation with Git integration

• Container lifecycle management (Build/Scan/Tag/Push)

• ArgoCD webhook integration for event-driven deployments

• Complete cluster automation with Ansible

• Bare-metal Kubernetes installation from scratch

• High-availability control plane setup

• Unified deployment system for multi-application orchestration

• Configuration management according to NIST SP 800-128

• Host security: Linux hardening, SELinux/AppArmor

• Network security: NetworkPolicies, micro-segmentation

• Application security: RBAC, Pod Security Standards

• Data security: Encryption at rest and in transit

• Defense-in-depth principles

• Certificate management with cert-manager

• Secrets management with External Secrets Operator connected to Vault

• Infrastructure monitoring with Checkmk

• Prometheus/Grafana monitoring stack

• Security event detection and logging

• Automated health checks and incident response procedures

• MetalLB load balancing for bare-metal

• Nginx ingress controller with SSL passthrough

• NetworkPolicies for security zones

• Rook-Ceph distributed storage, CNI configuration (Weave Net)

• Container & orchestration: Kubernetes (bare-metal), Docker, Helm

• CI/CD & GitOps: Jenkins (Custom Shared Library), ArgoCD, Groovy

• Automation: Ansible, Bash, Python

• Security: nftables, RBAC, NetworkPolicies, cert-manager, Vault, Sealed Secrets

• Monitoring: Checkmk, Prometheus, Grafana

• Storage & networking: Rook-Ceph, MetalLB, Nginx Ingress, Calico

• Collaboration: Jira, Confluence

• OS: Debian, Ubuntu

• Migrated infrastructure automation from Puppet to Ansible
• Ensured compatibility with CentOS and RHEL 8 and 9
• Managed users in Active Directory
• Managed applications, services, security policies, certificates, and more

• I am responsible for providing solution architecture and technical assistance for a migration initiative aimed at transitioning to a new core banking system.
• The project involves replacing in-house development with a commercially available off-the-shelf core banking system operated as SaaS on AWS.
• Duties encompass solution design, technical coordination, supporting development teams, and providing IT support and troubleshooting.
• Managing over 10 global vendors and partners is crucial to project success.
• Technologies: VMWare ESXi, AWS, EKS Kubernetes, Mastercard Payment Transaction Service, Avaloq, A1 Telekom Austria infrastructure, CheckPoint FW, F5, Site-to-Site VPNs, PingID, Futurae SDK, Airlock, UC4/Automic, Firebase, iOS/Android lifecycle management, AWS IAM, AWS AppStream, AWS S3, AWS Transfer Family, QlikView, OpenAPI.

Selected projects:

Kiosk platform – hospitality

• Led a 3-person team while hands-on architecting an edge computing infrastructure for over 15 self-service kiosks in Alpine hotels with unstable connectivity
• Designed a Nomad-based cluster with a WireGuard mesh network for fully automated OTA updates, even during local network outages and offline operation
• Integrated physical peripherals (hotel key card readers, thermal printers) into a containerized deployment pipeline
• Reduced on-site maintenance visits by ~40% through a resilient offline-first architecture and Prometheus-based hardware monitoring
• Tech: Nomad, Consul, WireGuard, NestJS, NextJS, Prometheus, Custom Hardware Provisioning

Multi-tenant SaaS platform – insurance claims processing

• Built and operated the Kubernetes infrastructure for a market-leading claims processing platform (acquired by an S&P 500 company) – with strict compliance and availability requirements
• Designed a multi-tenant EKS cluster with tenant isolation, enabling cost-effective single-instance hosting for multiple customers
• Implemented dynamic spot instance node pools, reducing infrastructure costs by ~20%
• Set up fully automated deployment pipelines (Terraform + GitHub Actions) for uninterrupted releases during business hours
• Tech: EKS, Terraform, GitHub Actions, Prometheus/Grafana/Loki, PHP, GraphQL

Legacy ERP integration – construction photo documentation

• Led a 2-person team in designing and implementing a real-time sync bridge between a legacy Microsoft Access ERP (without an API) and a modern mobile photo app for quality control on construction sites
• Developed a PostgreSQL pipeline with real-time listeners that extract data from 1990s Access databases – without disrupting existing workflows
• Built a resilient upload architecture with a circuit breaker pattern for unstable site connections (S3, NFS, Synology NAS)
• Saved each project manager 2–4 hours per week through automated photo sync instead of manual USB/SD card transfers
• Tech: NestJS, PostgreSQL, React Native (Expo), S3, Synology API, offline-first architecture

• Developed Taranis AI, an advanced open-source intelligence (OSINT) tool, leveraging artificial intelligence to revolutionize information gathering and situational analysis.
• Created cybersecurity trainings and a cyber range to provide hands-on learning experiences for SOC teams and IT management.
• Designed and implemented a hybrid cloud infrastructure using OpenStack, Terraform, and Ansible, improving the scalability and performance of the infrastructure and led the migration from an on-site only infrastructure to the hybrid cloud environment.
• Some of my current work can be found on GitHub.

• Lead architect for AI and ML projects including GenAI, LLM-based apps and forecasting solutions
• Guided customers through solution scoping, architecture design, and PoCs across various industries (Pharma, Insurance, Logistics, FMCG)
• Delivered production ML pipelines using Azure ML, MLflow, and MLOps best practices
• Responsible for effort estimation, delivery and staffing of 5 – 10 projects simultaneously
• Hiring manager for the data science and AI team and responsible for creating the technological offering and roadmap in the AI & Data Science space
• Built and scaled the AI/Data Science service offering from scratch to a high 6-figure annual revenue with 30+ successful deliveries and 20+ clients
• Regular speaker at AI and data science conferences and academic institutions

• Prepared and delivered a five-day seminar via Microsoft Teams
• Key topics: building, running, and managing Docker containers; Kubernetes cluster basics and Kubernetes networking basics; Terraform basics and best practices for Terraform environments in Azure

• Built and maintained a full-featured React Native mobile app and companion web portal supporting multi-role access and real-time collaboration for service teams.
• Developed a robust NestJS backend using TypeScript, adhering to scalable microservices patterns to support a dynamic task management system.
• Designed and optimized PostgreSQL schemas, using advanced indexing and normalized data models to support patient tracking, tasks, and outcome reporting.
• Integrated Socket.IO to support real-time team communication, task status updates, and instant notifications across mobile and web platforms.
• Developed secure authentication workflows using AWS Cognito, including multi-role login, token refresh, and session timeout handling.
• Leveraged AWS S3 for secure document uploads (patient records, resource materials) with signed URLs and access control policies.
• Connected AWS SNS and SES to automate notifications for escalations, missed follow-ups, and appointment reminders.
• Engineered an admin analytics dashboard using React + Zustand for tracking user activity, case completion rates, and compliance metrics.
• Designed and implemented AI-driven features for task prioritization and patient risk classification using external API integrations.
• Established a robust CI/CD pipeline using GitHub Actions and Docker, achieving automated testing, linting, and environment-based deployments.
• Followed Agile ceremonies (daily standups, sprint planning, retros) while collaborating with QA, BAs, and PMs to deliver high-velocity features.
• Led data protection efforts ensuring full GDPR compliance, including encrypted storage, session control, and user-consent management.
• Delivered a fully responsive UI using DaisyUI-style components for mobile and tablet-first designs, achieving high Lighthouse scores.
• Reduced support tickets by 40% by implementing detailed audit logging and a self-service helpdesk system in the admin interface.