CS @ TUM · Interested in GPU computing & AI infrastructure
| Area | Topics | Status |
|---|---|---|
| C & Systems (GdP / Rechnerarchitektur) | Memory management, pointers, computer architecture | 🟢 Active |
| Parallel Programming (IN2147) | Threads, synchronisation, OpenMP, MPI, GPU concepts | 🟢 Active |
| Algorithms & DSA (Self-directed) | Sorting, trees, graphs, complexity analysis | 🟢 Active |
| Math Foundations (TUM courses) | Linear algebra, probability theory, discrete math | 🟢 Active |
| GPU Computing (Self-directed) | CUDA architecture, kernel optimisation, memory hierarchy, CuTe | 🔵 Building |
Werkio — Full-stack Spring Boot app, deployed and live
Spring Boot · Docker · Auth
Specialise in GPU kernel engineering and AI inference optimisation —
writing performance-critical CUDA code, tuning memory hierarchies,
and working at the intersection of hardware architecture and systems software.