Cloud • Platform • Infrastructure • DevOps • AIOps • Dev / AI Engineer

Alan Szuster

Site Reliability Engineer

Working on cloud infrastructure and platform engineering across GCP and Azure, focusing on Kubernetes, container orchestration, Infrastructure as Code, CI/CD automation, and cloud-native environments.

Designing, maintaining, and improving infrastructure, automating workflows, and developing tools and solutions using Python, Terraform, JavaScript, Node.js, TypeScript, and Bash. Working across both infrastructure and development aspects of AI/ML, including GPU workloads, LLMs, Machine Learning, and Agentic AI solutions.

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Portrait of Alan Szuster

Experience

  1. Site Reliability Engineer

    May 2024 — Present

    Salling Group A/S

    Running production Kubernetes and cloud platforms on GCP and Azure, plus AI agents and ML workloads.

  2. ServiceNow Developer

    Dec 2022 — May 2024

    Salling Group A/S

    Developed and integrated the ServiceNow platform: ITSM and custom apps.

  3. IT Operator

    Jan 2022 — Nov 2022

    Salling Group A/S

    First-line support for business applications used across retail.

Skills

The stack I use daily across platform, cloud and AI workloads.

  • Kubernetes
  • GKE
  • AKS
  • OpenShift
  • Docker
  • Helm
  • Terraform
  • Argo CD
  • GitHub Actions
  • Google Cloud
  • Azure
  • Cloud Run
  • Cloud Functions
  • Cloud SQL
  • Cloud Armor
  • IAM
  • VPC / VNet
  • ExpressRoute
  • Cloud Interconnect
  • Load Balancing
  • WAF
  • Firewalls
  • Agentic AI
  • Custom AI agents
  • LLMs
  • RAG
  • MCP
  • Vertex AI
  • Azure AI Foundry
  • PyTorch
  • TensorFlow
  • MLflow
  • GPU workloads
  • AIOps
  • Datadog
  • Grafana Cloud
  • Zabbix
  • Python
  • TypeScript
  • JavaScript
  • Bash
  • Linux
  • Git

AI Playground

Draw a sketch and let the model classify it.

This is a live demo of doodleai, my own sketch-recognition project. A custom convolutional neural network, trained on Google's Quick Draw! dataset, recognises 120 hand-drawn categories and returns its top three guesses with confidence scores.

  • Python + TensorFlow
  • Custom CNN
  • REST API with API-key auth and rate limiting
  • Docker
  • Hosted on Hugging Face Spaces

Your drawing goes through this site's server to the model API, so the API key never reaches your browser. The demo is rate limited, so give it a moment between predictions.

How to use:

  • Draw one simple object on the canvas with your mouse, finger or stylus
  • Click "Predict Draw" to let AI analyze your artwork
  • Your sketch is automatically cropped, centred and scaled to match the training data before it is sent
  • Use "Get Known Classes" to see all available drawing categories
  • Use "Get Random Class" for a drawing challenge: the model tells you if it got it
  • Click "Clear" to start over