I'm currently studying GPU architecture and diving deep into CUDA / parallel computing — how work actually schedules across warps, memory hierarchies, and where the bottlenecks really live. Before that, I spent my time in web architecture and full-stack development, so I tend to think about performance problems from both the systems side and the application side.
- 🔭 Learning: GPU microarchitecture, CUDA kernels, memory coalescing, occupancy tuning
- 🌐 Background: full-stack web development — APIs, infra, and everything in between
- 🌱 Currently bridging the gap between "ships fast" web engineering and "counts cycles" systems programming
- 📫 Reach me via the badges above
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Systems & GPU
Languages & Web
Tools & Infra
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