I’ve always been curious about how systems work, which has taken me from professional audio to software development and data engineering.
After rediscovering programming through Python for Everybody, I completed a BSc in Computer Science at the University of the People (June 2026). Throughout my degree and since, I’ve focused on building practical solutions: data pipelines, an information retrieval system, API integrations, and automation running on a Linux server.
I like understanding the problem first, then finding a practical approach (sometimes a ridiculous one). The point is to build something that works, then improve it. Years of teaching taught me to communicate clearly and adapt quickly to people from different backgrounds.
Currently, I’m building an AI-powered job-matching automation with Docker, n8n, the Gemini API, and Google Sheets.
While studying predictive, preventative, and prescriptive analytics, I saw real potential in healthcare and bioinformatics, and that’s a direction I want to grow toward.
Seeking opportunities in:
Data Engineering • Data Science • Backend Development • Database Development • Data Platforms & Infrastructure
Technical focus: Python | Java | SQL | PostgreSQL | MySQL | SQLite | ETL | REST APIs | Linux | Docker | Git/GitHub | Azure | Data Pipelines | Machine Learning Fundamentals | Information Retrieval
Always learning. Always building. Always looking for a better solution. Let’s go!

