Deploy Manager, automation specialist, software developer, and technical content creator based in Italy.

I have more than five years of experience designing and deploying large-scale Home Assistant installations, including whole-building automation systems with 500–1000 connected devices, heating control, energy monitoring, installer training, technical support, and infrastructure management.

I develop practical and reproducible solutions around Home Assistant, MQTT, Zigbee2MQTT, ESPHome, Matter, Meshtastic, and local-first infrastructure.

🌐 alessandrosimonitto.it

• Home Assistant integrations, blueprints, dashboards, and automations
• MQTT, Zigbee2MQTT, ESPHome, Matter, Zigbee, and LoRa/Meshtastic
• Energy, water, heating, irrigation, and environmental monitoring
• Multi-building and large-scale device deployments
• Local-first and cloud-independent systems
• Network infrastructure, virtualization, NVR, and remote access

• Python, Lua, YAML, JavaScript, HTML/CSS, and Bash
• Home Assistant custom integrations and Lovelace cards
• Event-driven automation and scheduling systems
• Technical documentation, installation guides, and user-oriented tutorials
• Testing, debugging, and reproducible deployment workflows

• DCS World mission design and native Lua scripting
• Dynamic mission systems and procedural event generation
• Training environments, scoring systems, radio menus, and game-master tools
• Tactical, historical, civil, emergency, and training scenarios
• More than twenty years of flight simulation experience

Advanced multi-domain scheduler for Home Assistant, distributed as a HACS custom integration with its own Lovelace interface.

Chronos manages thermostats, air conditioners, lights, blinds, irrigation systems, switches, fans, water heaters, robotic mowers, vacuums, alarms, scenes, automations, helpers, and generic Home Assistant services.

Main features include:

• linear, radial, and list timeline editors with drag-and-drop
• daily and weekly scheduling
• sunrise and sunset anchors
• recurring yearly date ranges
• conditional IF/THEN weather and sensor rules
• reusable rules shared across multiple schedules
• local weather-station sensor overrides
• scene, automation, and generic service scheduling
• per-block device subsets and advanced device parameters
• execution history and debugging tools
• JSON import and export
• offline-device recovery
• restart-safe automatic switch-off timers
• automatic recovery of missed valve closures and switch-off commands
• multilingual interface

Modular native-Lua framework for civil and emergency missions in DCS World, built without MOOSE, MIST, or CTLD.

It includes:

• wildfire detection and firefighting
• helicopter water operations
• C-130 retardant drops
• mountain and maritime search and rescue
• MedEvac and battlefield CASEVAC
• rescue vessels and hospital ships
• police chases and SWAT operations
• tiered cargo transport and supply airdrops
• infrastructure reconnaissance
• VIP transport
• media coverage missions
• dynamic severity and scoring systems
• procedural event generation
• game-master controls through F10 map markers
• session reports and a Python-based cross-session leaderboard

The project includes modular source files, a generated single-file build, Mission Editor documentation, player briefings, a game-master handbook, feasibility analysis, and build tools.

The framework is structurally complete, syntax-checked, and smoke-tested against a mock DCS scripting API. In-game validation is currently in progress.

Collection of standalone native-Lua training modules for DCS World.

The scripts can be loaded independently and do not require MOOSE, MIST, or CTLD.

Available systems include:

• bombing and weapons training ranges
• dogfight and BVR arenas
• dynamically scaled air-combat scenarios
• SEAD training against radar, infrared, and AAA threats
• scramble and interception training
• Ground Controlled Approach training
• carrier operations
• aerial refuelling
• configurable UAV and ground JTAC support
• dynamically configurable laser codes and radio frequencies

Home Assistant blueprint providing full customization of all 16 SONOFF ORB button events.

Each single, double, triple, or long press can trigger any Home Assistant action sequence directly from the interface, without manually writing YAML.

Home Assistant automation blueprint for the 12 Matter buttons integrated into the ThirdReality MK1 keyboard.

Each button can be assigned to custom Home Assistant actions and automation sequences.

Languages

Python, Lua, JavaScript, TypeScript, YAML, HTML, CSS, and Bash.

Home automation

Home Assistant, ESPHome, Zigbee2MQTT, Mosquitto MQTT, HACS, Lovelace, Matter, Zigbee, and Meshtastic.

Infrastructure

Proxmox, Docker, LXC, Linux, Tailscale, Samba, NFS, Cloudflare Tunnel, and Frigate NVR.

Other areas

IoT systems, energy monitoring, video surveillance, local AI services, technical writing, video production, audio editing, and live streaming.

I publish technical tutorials, practical installations, product tests, and reproducible configurations based on real systems and hands-on experience.

Home automation, Home Assistant, IoT, and smart-home engineering.

Topics include:

• Home Assistant for beginners and advanced users
• integrations, dashboards, and automations
• Zigbee, Matter, MQTT, and ESPHome
• device comparisons and real-world testing
• network and virtualization infrastructure
• energy and environmental monitoring
• LoRa and Meshtastic networks
• local-first and cloud-independent solutions

DCS World and military flight simulation.

Topics include:

• mission design
• native Lua scripting
• tactical and historical scenarios
• training missions
• flight simulation systems and procedures

My projects come from real installations, physical testing, production environments, and practical use cases.

I focus on:

• clear and maintainable implementations
• reproducible configurations
• detailed technical documentation
• interoperability between different ecosystems
• honest testing based on real-world behavior
• solutions that remain understandable and usable by other people

Brand collaborations are evaluated on the basis of technical relevance, transparency, and freedom to provide an honest assessment.

If my projects, blueprints, documentation, or videos have been useful to you, you can support their development here:

I am open to discussing projects, technical collaborations, software development, smart-home systems, IoT, technical communication, and simulation tooling.

• Website: alessandrosimonitto.it
• YouTube: @alessandrosimonitto
• DCS channel: @pricemilsim
• Ko-fi: ko-fi.com/alessandrosimonitto