• Contributing to Open Food Facts — open-source Flutter & Dart mobile app for Android and iOS

• Meteo Alert — Flutter app that monitors weather forecasts and notifies when wind speed, temperature, or rain probability thresholds are about to be exceeded

• Notification Reader — Android app that captures system notifications and FCM push messages, stores them encrypted in Firebase Realtime Database, and lets trusted users monitor them in real time from their own device

• Angular — create and deploy webapps and PWA

• AI-assisted development workflows — local LLMs via Ollama, Claude Code, custom agents with their own identity (SOUL.md)

• AI integration in real products — not demos, actual features that ship to production

• Agent architecture — memory, context, reasoning and tool use

• Google I/O 2026 — Compose-first Android (Jetpack Compose v1.11), Flutter 3.44 with generative UI, Android 17 Adaptive Everywhere (phone · car · XR), native app generation from prompts in AI Studio, and Gemini 3.5 Flash optimised for mobile agentic tasks

• WWDC 2026 — iOS 27 & macOS Golden Gate, rebuilt Siri AI with cross-app context and standalone app, SwiftUI next-gen (less code · better performance · new toolbar & document APIs), Xcode 27 with on-device AI code completion, and App Intents as the new mandatory Siri integration surface (SiriKit deprecated)

Next.js · TypeScript · Spring Boot · Python · Angular

REST APIs, event-driven architectures, third-party service integration.

AWS · Firebase · Azure · Docker

My current focus is turning AI capabilities into real user value:

• Local LLMs — Ollama on Apple Silicon (M5 Pro, 48 GB RAM); quantized models, benchmarking, prompt engineering

• Claude Code — agentic coding; enriched-context sessions (SOUL.md, project documentation)

• Agent design — identity, voice, consistent behavior; beyond the generic chatbot

• AI in own products — integration in Flutter/iOS/Android apps; intelligent coaching, generative feedback

• RAG & embeddings — semantic retrieval over domain knowledge bases

• Prompt engineering — robust system prompts, few-shot, chain-of-thought, structured output

• 💊 Health & pharmacy — Platforms for healthcare professionals

• 🎓 E-Learning — eLearning platform and content provider for serving companies, training centers, and public administration

• 🎾 Sports — Learning Academy for Padel coaches and players

• 🧴 Health coaching — tracking apps with personalised feedback

• 👥 HR & staffing — ERP for personnel and contract management

• 📄 Document management — digitisation and approval workflows

• 🚛 Logistics — fleet routing and route optimisation

What defines me most:

• I prefer understanding the problem before opening the editor

• I care about the end user's experience, not just the architecture

• I believe in iterative products: ship, measure, improve

• I combine product vision with technical judgement — I can talk to both business and engineering