Yu's strong proficiency in C++ is a core skill. This could include areas like memory management, performance optimization, and code architecture.

Detailed examples of specific rendering techniques she has mastered (e.g., deferred shading, physically-based rendering) and her understanding of graphics pipelines are crucial. Specific contributions to rendering techniques are necessary.

Details of her expertise in machine learning algorithms, frameworks (e.g., TensorFlow, PyTorch), and their application to solve real-world problems. This is a more recent development in her career.