The story
I turn a concrete need into a working tool by guiding AI as it writes the code: I define the problem, break the work down, check and test. I am not a traditional developer, but I deliver programs that do their job.
The LLM study needed something that did not exist. I developed a Python “Master Suite” that corrupts texts with neologisms using spaCy, prepares the prompts in a desktop program distributed as a Windows executable, and automatically compares the answers of the eight models. It calculates precision, recall and F1 and generates the charts for the paper.
With the same method I built an Android app for downloading videos, SPC, a system that predicts Serie A results with a statistical model, a virtual disk converter and this semantic CV system. They are all ideas born from a real problem that became programs in a short time.
How it developed
AI-driven development of personal and university tools; the projects are described on this site with screenshots.
- 2025Android app for downloading videos and a virtual disk converter.
- 2026Python Master Suite for the LLM study; SPC football prediction system.
- 2026Semantic CV system: website, builder and tests with 100 virtual HR recruiters.
What I can do
- Python scripts and automations
- Desktop programs (Windows executables)
- Android apps
- Single-file web apps
- Data analysis pipelines
Tools and keywords
Tools
Keywords
Work and evidence
Python Master Suite (spaCy) for the 8-LLM study; Video Saver Android app (20 of 26 social networks supported); SPC for Serie A; VHDX/VMDK/VDI/QCOW2 converter.
AI projects and programs
Master Suite, Android app, SPC (football prediction), converter and CV builder.