Research Intern, Fujitsu Limited
Oct, 2025 - Apr, 20266 months
Developed a proof-of-concept method for accelerating single-request decoding of Transformer language models quantized with Double Binary Factorization
Implemented and evaluated CUDA kernels for the proposed method; integrated them within PyTorch, enabling deployment with the HF Transformers library