- 🔬 Exploring diffusion models, flow matching, inverse problems, and image restoration
- ⚡ Learning how modern models run efficiently through CUDA kernels and ML systems
- 🧠 Reproducing papers and systems to understand them from first principles
- 🛠️ Also interested in practical tools across Python, Go, and the web
- 📫 The best way to reach me is through GitHub
Languages
ML & Data
Systems & Tools
| Project | Focus | What it explores |
|---|---|---|
| BlurDM | Diffusion · Image restoration | A blur diffusion model for image deblurring, published at NeurIPS 2025 |
| FlowDPS | Flow matching · Inverse problems | Flow-driven posterior sampling for inverse problems, published at ICCV 2025 |
| ID-Blau | Diffusion · Deblurring | Implicit diffusion-based reblurring augmentation, published at CVPR 2024 |
| DeepSeekV3 MoE CUDA | CUDA · ML systems | CUDA work targeting DeepSeek-V3 mixture-of-experts workloads |
| forge-cute-py | CuTe DSL · GPU kernels | A workflow for implementing, validating, benchmarking, and profiling GPU kernels |
| AudioPilot | LLMs · Computer vision | An automatic flight-control system built around language and vision models |



