AI Engineering Notes
Insights on AI engineering and machine learning foundations, including system design, backend systems, and practical LLM infrastructure.
Research
AI-driven analysis of table tennis trajectories, classification of serving and hitting actions, racket segmentation, and hitting action classification. Also, implementations of Image Steganography.