Architecting the future with code — turning complexity into simple, useful, and evolvable products.
I am a software engineer with more than 10 years of experience in technology and a background as a Tech Lead. I mainly work with APIs, system architecture, cloud, and automation — always looking to build solutions that are easy to understand, operate, and evolve.
My current studies and personal projects focus on applied AI, developer tools, and the Home Assistant ecosystem, exploring integrations that connect automation, observability, and everyday life.
My principle: the best code is code that other people — and future AI agents — can understand, maintain, and evolve.
A selection of my public Home Assistant projects. Each integration started from a real need: organizing an installation, visualizing dependencies, tracking activity, or connecting new possibilities to the home.
Organizes and tracks HACS, Marketplace, and Core integrations in one view. Python · HACS · Home Assistant |
Read-only auditing for areas, zones, categories, labels, entity IDs, and aliases. Python · HACS · Home Assistant |
Maps relationships between automations, scripts, scenes, services, and entities. Python · Lovelace · Dependency graph |
Tracks how long entities, people, zones, and applications remain active. Python · Sensors · History |
Turns to-do lists into persistent, recurring, and actionable reminders. Python · To-do · Notifications |
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Tracks AI service usage from webhook payloads with dynamic Home Assistant devices. Python · Codex · Ollama Cloud |
StackSpot AI agent integration for Home Assistant. Python · AI · Archived project |
- Engineering: Java, Spring Boot, Python, APIs, architecture, and distributed systems.
- Cloud & operations: AWS, Docker, Kubernetes, Terraform, CI/CD, and observability.
- Applied AI: agents, RAG, MCP, automation, and tools that improve software development.
- Personal products: Progress Loop, OpenCerts, and experiments connecting software to the real world.
Some topics I have been exploring publicly on LinkedIn:
| Topic | Link |
|---|---|
| Architecture designed for AI agents and context engineering | Read publication |
| SyncLife evolution: from microservices to a modular monolith | Read publication |
| Microservices in practice: events, RabbitMQ, MQTT, and Home Assistant | Part 1 · Part 2 · Part 3 · Part 4 |
| StackSpot AI + Home Assistant | View publication |
| AI-powered code review with GitHub Actions | Read article |
| Progress Loop: continuous certification practice | Explore the project |
Updated in October 2026