03. Technologies

A list of technologies — from the ones I use every day to the ones that are now part of me. But mind you: the future changes fast, and so does this list with it.

Technological Experience

LLM Development Agents & AI Documentation 85%

I design and orchestrate LLM-based development agents and write AI-friendly documentation, bridging the human team and AI tooling in the development workflow.

CI/CD & Automation (Jenkins, GitLab, Bamboo) 80%

I've introduced automations, selected tools, optimized pipelines and internal processes. Solid competence, both in processes and R&D.

Frontend Architecture (React.js, Angular, Vanilla JS) 80%

I've led frontend teams, defined RAD components, re-engineered products, developed PWAs. I know lifecycle, rendering, and structuring complex UI architectures.

Advanced Architectures (DDD, Event-Driven, CQRS) 65%

Studying advanced architectures to increase robustness, scalability and clarity of complex systems I manage, improving quality of technical decisions and design processes.

JavaScript (Node.js + TypeScript) 90%

It's the language/stack that recurs throughout my career: backend, automation, integrations, cloud projects, PWA, orchestration. Maybe I don't know everything and TypeScript surprises me every time, but by now JS is my home.

PHP (Symfony, Zend, legacy-to-modern) 85%

I've developed and maintained Zend APIs for years. Recently I worked with Symfony on medium-sized projects. Even if it's less central for me today, the level is definitely expert.

Cloud & Distributed Systems (Docker, Kubernetes) 60%

In my recent experiences I brought a product natively distributed on K8s with 100+ machines, pipelines, containerization and business continuity. I'm not a pure DevOps, but I have concrete experience with real architectures.

Cloud Provider Deep Dive (AWS, GCP, Azure) 50%

Deepening knowledge of major cloud providers to consolidate architectural skills on managed services, security, networking and scalability, fundamental for supporting modern enterprise solutions.

Machine Learning 40%

Focusing on Machine Learning to enhance predictive and analytical capabilities of products I oversee, integrating intelligence into decision-making flows and internal automations.

WebAssembly (WASM) 20%

Studying WebAssembly to evaluate new high-performance solutions in the browser and server-side contexts, with the goal of bringing efficiency and portability to distributed and real-time scenarios.