Jason Dai
Professor at Shanghai Innovation Institute
Shanghai, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolJason Dai is a professor and seasoned engineering leader with 13+ years driving global Big Data and AI initiatives across Shanghai and Silicon Valley, including a senior fellowship at Intel. He created IPEX-LLM for Intel XPU acceleration and pioneered BigDL and Analytics Zoo, platforms adopted by enterprises like Mastercard, Visa, Alibaba Cloud and ByteDance. A founding committer and PMC member of Apache Spark and mentor for MXNet, he blends deep open-source stewardship with production-grade system design. His work spans end-to-end AI pipelines and real-world deployments — recommendation, NLP, vision and PPML — for customers such as Verizon, Ant Group and Meituan. Notably, his teams won the 2016 CloudSort benchmark with Alibaba Cloud and co-developed high-scale Spark innovations with UC Berkeley. He combines academic rigor (multiple top-tier publications and guest professorship) with hands-on platform engineering that optimizes LLMs on CPUs, GPUs and NPUs.
13 years of coding experience
18 years of employment as a software developer
B.S., Computer Science, B.S., Computer Science at Fudan UniversityM.S., Computer Science, M.S., Computer Science at National University of Singapore
Github Skills (6)
restructuredtext10
sphinx10
documentation10
llm6
pytorch5
transformers5
Programming languages (6)
Github contributions (5)
intel/ipex-llm
Sep 2016 - Nov 2022
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, DeepSpeed, Axolotl, etc.
Role in this project:
Technical Writer
Technical WriterContributions:1534 reviews, 83 commits, 259 PRs in 6 years 3 months
Contributions summary:Jason primarily updated documentation files within the repository. The contributions involved modifying `index.rst` files, which are part of the project's documentation, to reflect changes and updates. The updates include descriptions for different libraries, choosing the right libraries, and improving the overall presentation of the project's features. The changes also covered general documentation updates.
deepspeedfine-tuninggemmagpuhuggingface
jason-dai/ipex-llm
May 2022 - May 2025
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, DeepSeek, Qwen, Baichuan, Mixtral, Gemma, Phi, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, Axolotl, etc.
Contributions:4 PRs, 746 pushes, 38 branches in 3 years
deepspeedfine-tuninggemmagpuhuggingface
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