FROM ARCHITECTURE
TO AI
Turning complex datasets into clear, strategic decisions.
Turning complex datasets into clear, strategic decisions.
After 5 years in architecture and interior design, I transitioned into data science and software development in 2024. I now build automation systems and AI-driven tools — combining technical skills in Python, FastAPI, and machine learning with a strong understanding of spatial and architectural domains.
My focus is on solving real problems: I built a CRM automation system for a real estate agent using n8n, Streamlit, and PostgreSQL, and developed a local RAG system for document analysis without compromising data privacy.
I'm currently exploring opportunities at the intersection of architecture, data, and technology — particularly in Contech and PropTech.
"My goal is to bring data-driven thinking to industries that still rely on intuition — starting with architecture and the built environment."
An AI tool that lets architects preview materials in real spaces before purchasing. Validated with 5 architects and 5 ceramic suppliers.
A lightweight CRM automation built with n8n, Streamlit, and PostgreSQL — capturing leads, sending instant notifications, and tracking follow-ups for a real estate client.
A fully local RAG system that answers questions directly from PDF documents — no cloud, no data leaks, just fast and private analysis.