Cloud & DevOps engineer with a strong background in large-scale systems and distributed architectures.
I design and build production-ready, observable, and cost-efficient cloud platforms, with a pragmatic approach to automation and infrastructure engineering.

My work focuses on:

• ☁️ Cloud Architecture
• ⚙️ DevOps & Platform Engineering
• 🤖 AI-driven systems
• 🌐 Distributed infrastructure

I care about clean architecture, operational excellence, scalability, and real-world constraints (cost, resilience, maintainability).

CloudRadar is my end-to-end showcase project.

It is designed as a realistic production-grade platform, close to what we build in enterprise environments.

• Real-time ADS-B aviation data ingestion
• Infrastructure as Code with Terraform
• Kubernetes orchestration (k3s)
• GitOps deployment using ArgoCD
• Secret management via External Secrets Operator
• Observability stack (Prometheus + Grafana)
• Cost-aware architecture (FinOps mindset)
• Cloud-agnostic design principles

• Minimal reliance on managed services
• Reduced vendor lock-in
• Reproducible infrastructure
• Observable by design
• Security-first configuration

Build small. Scale smart. Observe everything.

AWS • Kubernetes • Terraform • Docker • ArgoCD • CI/CD • GitOps

Python • Java • REST APIs • Event-driven workflows

Prometheus • Grafana • Structured logging • Metrics-driven decisions

LLM integration • Automation workflows • Applied AI in infrastructure contexts

I’m motivated by:

• Turning complexity into structured, automated systems
• Designing architectures that handle real-world traffic
• Bridging development and operations cleanly
• Building systems that are observable and measurable

Technology should be robust, scalable, and maintainable — not just innovative.

Open to discussions around:

• Cloud architecture
• Platform engineering
• DevOps transformation
• AI applied to infrastructure

Feel free to explore the repositories.
If something resonates with your needs, let’s connect.