About Me

Contact Information

Location: Budapest, Hungary (Remote/Hybrid Available)
Availability: Immediate for contract engagements
Specialization: DevOps Engineering, Cloud Architecture, AI Integration

Professional Focus

DevOps Engineer specializing in enterprise-scale cloud infrastructure and emerging AI technologies. Proven track record of delivering mission-critical systems for telecommunications and enterprise software clients with a focus on long-term professional partnerships.

Educational Background: Electrical Engineering, Budapest University of Technology and Economics - Department of Telecommunications and Media Informatics (2017-2022)

Industry Expertise: Telecommunications infrastructure, enterprise software development, cloud-native applications, financial technology systems

Core Competencies: Infrastructure as Code, microservices architecture, CI/CD automation, container orchestration, cloud security, performance optimization, AI/LLM integration

Client Relationship Approach: Long-term strategic partnerships focused on sustainable solutions and continuous improvement rather than short-term project delivery.

Work Experience

DevOps Engineer | ApexLab, Budapest

January 2026 - Present

Situation: Leading cloud migration initiatives for enterprise clients transitioning from on-premises and legacy cloud infrastructure to AWS-based solutions.

Key Accomplishments:

  • Architecting and executing large-scale workload migration strategies to AWS, ensuring minimal downtime and business continuity
  • Designing cloud-native infrastructure using AWS services and Infrastructure as Code practices
  • Implementing automated migration pipelines and validation frameworks for seamless workload transitions

Technologies: Claude, AWS (EC2, S3, RDS, Lambda, ECS), Terraform, CloudFormation, Github-Actions


Senior Software Engineer | Codenomads, Budapest

January 2025 - June 2025 (Contract)

Situation: Leading AI-driven development initiatives for enterprise clients requiring advanced code analysis and automation solutions.

Achievements:

  • Architected sophisticated LLM integration platform reducing code review time
  • Implemented autonomous AI agent orchestration systems enabling multi-step reasoning workflows for complex technical decision-making
  • Designed and deployed CI/CD automation frameworks achieving faster deployment cycles across multiple client projects

Technologies: Claude, Python, Docker, Kubernetes, APIs, Jenkins, Terraform


DevOps Engineer | Ericsson, Budapest

January 2022 - January 2026

Situation: Responsible for enterprise-scale cloud-native Internet Multimedia Subsystem serving millions of telecommunications users across American markets.

Key Accomplishments:

  • Led design and implementation of robust CI/CD pipeline infrastructure supporting 20+ microservices
  • Developed deep expertise in security architecture and threat mitigation through extensive vulnerability assessment programs, gaining comprehensive understanding of CVE analysis, security patching strategies, and defense-in-depth principles
  • Engineered Infrastructure as Code solutions using Terraform for hybrid cloud deployments
  • Orchestrated Kubernetes and OpenShift environments

Technologies: Kubernetes, OpenShift, Terraform, Azure, Jenkins, Spinnaker, Python, Bash


Software Development Intern | Ericsson, Budapest

August 2021 - December 2021 (6-month project)

Situation: Integrated with cross-functional engineering teams to establish automated code quality assurance processes.

Deliverables:

  • Implemented comprehensive pre-submission code validation system combining commercial static analysis tools with custom dynamic checking solutions

Technologies: Static Analysis Tools, Python, Git, CI/CD Integration

Education

Electrical Engineering | Budapest University of Technology and Economics

Department of Telecommunications and Media Informatics September 2017 - January 2022

Thesis Project: Measuring the Elasticsearch engine under load

Skills

Core Technologies

Cloud Platforms & Infrastructure (Advanced)

  • Azure - DevOps pipelines, resource management, IaC deployment
  • AWS - EC2, S3, CloudFormation, VPC, IAM, Lambda
  • Terraform - Infrastructure as Code, multi-cloud provisioning
  • Kubernetes - Container orchestration, monitoring
  • OpenShift - Enterprise container platform, operators
  • Docker - Containerization, multi-stage builds, optimization

Programming & Scripting Languages (Advanced)

  • Python - Automation, API development, data processing
  • Bash - System administration, CI/CD scripting
  • Groovy - Jenkins pipeline scripting

DevOps & Automation (Advanced)

  • CI/CD Pipelines - Jenkins, Spinnaker, Azure DevOps
  • Microservices Architecture - Design patterns, API gateways
  • Infrastructure as Code - Terraform, ARM templates, CloudFormation
  • Configuration Management - Ansible, Helm charts
  • Monitoring & Observability - Prometheus, Grafana, ELK stack

AI & Machine Learning (Intermediate)

  • Large Language Models - Integration, prompt engineering
  • AI Agent Development - Multi-step reasoning, orchestration
  • GenAI Applications - Custom implementations, API integration

Development Tools & Practices (Advanced)

  • Version Control - Git, GitHub, GitLab workflows
  • Project Management - Jira, Confluence, Agile methodologies
  • Testing - Unit testing, integration testing, test automation
  • API Development - RESTful services, GraphQL, documentation

Languages

  • Hungarian (Native)
  • English (Fluent)

Courses & Certifications

  • ISTQB Foundation level Software Tester
  • ComponentSoft: KBS-302 - Kubernetes and Container-based Application Security
  • ComponentSoft: Ethical Hacking
  • ComponentSoft: KBS-343 - Kubernetes Troubleshooting
  • AZ-104T00-A: Microsoft Azure Administrator
  • ComponentSoft: OpenShift Administrator
  • ComponentSoft: AI-434 - GenAI Application Development with LLMs