Alan Szuster

Site Reliability Engineer

Ensures reliability and scalability of systems through CI/CD automation, cloud infrastructure (GCP, Azure), container orchestration (Docker, Kubernetes), and monitoring (Datadog, Zabbix). Codes in Python, Java, Node.js, TypeScript, and Bash. Occasionally builds AI/ML and GenAI solutions as side projects.

About Me


I'm a Site Reliability Engineer passionate about creating resilient, scalable systems that enable businesses to operate smoothly.

With several years of experience in infrastructure management, automation, and monitoring, I specialize in developing CI/CD pipelines, managing cloud infrastructures, and implementing effective monitoring solutions.

My goal is to bridge the gap between development and operations, ensuring that applications are not only delivered quickly but also run reliably in production.

What I Do


Infrastructure & Automation

CI/CD automation, cloud infrastructure management (GCP, Azure), and container orchestration with Docker and Kubernetes.

Software Development

Building scalable applications using Python, Java, Node.js, and TypeScript.

Monitoring & Analytics

Implementing monitoring solutions with Datadog, Zabbix, and other tools to ensure system reliability.

Skills


Programming Languages

  • Python
  • Java
  • JavaScript
  • Node.js
  • TypeScript
  • Bash

AI & Data Science

  • Machine Learning
  • Generative AI
  • Deep Learning
  • Computer Vision
  • TensorFlow
  • PyTorch
  • OpenCV
  • NLP

DevOps & Cloud

  • Docker
  • Kubernetes
  • DevOps
  • Terraform
  • Linux
  • Git/GitHub
  • Software Engineering
  • Google Cloud
  • Azure
  • Datadog

AI Playground

Draw something and let AI guess what it is!

How to use:

  • Draw something on the canvas using your mouse or touch
  • Click "Predict Draw" to let AI analyze your artwork
  • Use "Get Known Classes" to see all available drawing categories
  • Use "Get Random Class" for drawing challenges
  • Click "Clear" to start over