Electrical engineer by education and professional experience, now increasingly focused on applied artificial intelligence.The main interest is using these tools to reduce repetitive work, improve analysis and checks, and build technical solutions when there is a real gain in time, quality or reliability.
Since 2019 I have built professional experience in electrical design, including low- and medium-voltage systems and photovoltaic projects.Since 2025 the main focus has progressively shifted toward applied artificial intelligence, while keeping the same engineering approach: start from the problem, understand constraints and feasibility, and avoid unnecessary complexity.
Professional experience includes low- and medium-voltage electrical systems, switchboards, technical documentation, quantity take-offs, cost accounting and specialist engineering software.
Photovoltaic system design belongs to the same path and remains part of the electrical-engineering activity.
Building energy performance certificates for property sales and rentals also continue as a more limited but ongoing professional activity.
The interest in applied artificial intelligence comes from the ability to recover time from repetitive work and validate concrete ideas quickly through AI-assisted development tools.
The most relevant applications include structured analysis, quality checks, process automation and focused tools built around real needs, without adding technology unnecessarily.
Artificial intelligence is not always the right answer: the assessment should weigh actual gains in time, quality or reliability against cost, complexity, data sensitivity and verification requirements.
The goal is not to add artificial intelligence superficially, but to use it where it creates a concrete advantage in work.Reducing repetitive work, speeding up analysis and checks, rapid prototyping, and tools built around real operational needs are the main directions.
Many useful improvements are small but frequent: comparing documents, checking long texts, reviewing multilingual material, drafting routine content or using voice-first prompting and dictation when speaking is the faster interface. Taken together, these changes can materially reduce low-value manual work.
AI-assisted development makes it possible to move from a concrete requirement to a prototype much faster. Applications can range from focused tools and automations to more structured software systems, while keeping feasibility, testing and iteration central.
Agentic environments and model-independent working methods can structure task decomposition, implementation, checking and recovery. When results are reliable, repetitive manual intervention can be progressively reduced without assuming that every process should become fully autonomous.
Model choice and deployment are part of the problem, not an afterthought. Depending on the context, external services, private cloud, on-premise or local models can offer different trade-offs in privacy, continuity, performance, cost and vendor dependence.
Electrical engineering provides the professional foundation, while applied artificial intelligence is now the main direction of technical development.The profile is not that of a traditional software developer, but combines engineering method, self-directed learning and modern AI-assisted development tools.
M.Sc. in Electrical Engineering and B.Sc. in Energy Engineering from the University of Padua. In 2019 I passed the State Examination and have been registered with the Order of Engineers of Bolzano since then. I also hold language certifications at English C1 and German B2 level, together with the local bilingualism certificate.
I also developed practical familiarity with configuration, debugging, server management and modifying existing code. It is not a conventional developer background, but a useful technical base for understanding the tools, errors and limits of systems built with artificial intelligence.
I prefer behind-the-scenes technical problems: reducing friction, improving reliability and removing repetitive manual steps where it makes sense. Punctuality, efficiency and curiosity guide how I work.
University of Padua.
University of Padua.
Professional work across LV/MV systems, technical documentation, quantity take-offs, cost accounting and photovoltaic projects.
Self-directed technical development focused on process optimization, AI-assisted tools, structured workflows and increasingly capable automation.
