🎖 Projects and Skills

• Programming Language: Python, C++, CUDA C/PTX
• Technical Expertise: Expert in low-level kernel optimization
  • Deep optimization of core operators using MMA/WMMA instructions and PTX assembly-level tuning
  • Quantized GEMM implementation for both compute-intensive and memory-bound scenarios
  • Proficient with CUDA acceleration libraries: CUTLASS, TensorRT, FastTransformer, and Triton
• Key Project Experience:
  • Responsible for Doubao multi-modal model inference optimization;
  • ByteNN-LLM inference engine architecture design and CUDA backend implementation;
  • Core developer of the Lighten inference engine.