I build pipelines that parse text, quantify rhetoric, and make power structures legible. I am a software engineer and policy analyst who operates at the intersection of data, law, and language.
I recently graduated from the University of Chicago with a B.S. in Computer Science (Data Science specialization) and a B.A. in Public Policy. My technical work is heavily focused on backend systems, NLP, and making sense of large, unstructured datasets—most recently, European parliamentary speeches and legal frameworks for my thesis, The Language of the Maze. My policy work interrogates how those frameworks impact trans individuals, migrants, and civil liberties.
My cognitive architecture runs on deep hyperfocus, high-bandwidth pattern recognition, and extremely high working memory. I thrive in environments that require sustained, complex logic—like debugging distributed systems, fine-tuning ML models, or mapping out the contradictions in legal code. I am much less interested in performing corporate social theater than I am in solving hard, structural problems.
As a Greek trans woman navigating the German legal system, my lived experience informs my work: bureaucracy is a codebase, and right now, it’s full of bugs. I build tools—using Python, Java, Rust, SQL, and whatever else gets the job done—to help read, debug, and rewrite it.
When I’m not coding or reading policy, I’m probably running web infrastructure for a satirical newspaper, managing IT for 140 academics, or looking for an excuse to build a custom FTP client in Python.
Btw, trans rights are human rights. 🏳️⚧️ If you don't agree, then leave. Seriously.
Depending on whether the job is computer science or public policy related, I have different resumes, in English and German. You can check them out below!