Computer Science student at TU Munich, working at the intersection of scientific computing, machine learning, and systems — turning hard concepts into software that actually runs.
I'm a Computer Science student at the Technical University of Munich, with experience drawn from both academic work and personal projects. I'm drawn to problems where rigorous thinking meets real implementation.
My interests sit around mathematics, machine learning, and scientific computing — and I'm most engaged when turning concepts into practical implementations and software people can actually use.
I enjoy working on real-world technical problems and building reliable, functional systems across different domains. I learn fastest by shipping, and I want to keep doing exactly that.
A full-stack Proxmox homelab monitor that auto-discovers nodes, VMs, and containers, renders them as a live interactive topology graph, and streams CPU/RAM/disk/network telemetry. Feeds structured live context into a local LLM chat interface for infrastructure diagnostics.
A CLI tool that turns document photos into scanner-quality PDFs through a computer-vision pipeline: GrabCut boundary detection, homographic perspective correction, morphological illumination normalization, and batch PDF export.
A cycle-accurate cache simulator modeling direct-mapped and fully-associative caches with LRU eviction, configurable line count/size and latency. Tracks per-access gate counts to estimate hardware complexity alongside hit/miss rates.
A no-frills CLI that converts Markdown files into clean PDFs straight from the terminal — no GUI, no browser, just one command.
Always up for interesting problems in ML, scientific computing, and systems — collaborations, projects, or a good technical chat. My inbox is always open.