I turn industrial complexity into software that works. From combinatorial optimization to AI-assisted pipelines — I build tools that make hard operational problems disappear.
I'm a Management Engineer with a strong lean toward process digitalization, operations research and AI. My work sits at the intersection of industrial logic and software craft — I analyse how things actually work, find where the friction is, and build tools that remove it.
Over the past year I independently designed and deployed a full suite of industrial applications in a real healthcare infrastructure company — solving NP-hard optimization problems, automating logistics planning, structuring a 85,000-record database, and experimenting with local LLM and RAG architectures. Every tool was born from direct observation of a broken process, and validated in production.
I work through rapid prototyping and iterative validation. I care about the quality of the data, the coherence of the flow, and the elegance of the result.
My thesis documents the complete methodology and technical implementation behind the tools above — from process analysis and criticality mapping, to heuristic algorithm design, to AI/RAG experimentation and the ÆMed vision. Written from 12 months of embedded work in a real industrial environment.