Computer engineering student building practical systems across AI, automation, software engineering and security tooling. I turn ideas into working products, then test, document and improve them.
Four projects, four different engineering challenges. Open a card to inspect the actual repository.
01 / Engineer Learning OS
Challenge: Learning and revision need evidence, not just generated answers. Approach: Local-first learning workflows with document grounding, quizzes and skill tracking.
Next.js · TypeScript · IndexedDB · PDF.js
02 / FaceLens
Challenge: Image comparison tools should be controllable and usable locally. Approach: Self-hosted research workspace for local facial-similarity comparison.
Python · Docker · React · Computer Vision
03 / IP Geolocation App
Challenge: Network data is hard to interpret without an accessible interface. Approach: IP enrichment, mapping and analysis through an API-backed dashboard.
Python · FastAPI · NiceGUI · Docker
04 / Application Automation
Challenge: Repetitive application steps consume time. Approach: Exploration of workflows that reduce repetitive application tasks.
Automation · Web workflows




