I am currently a Master’s student in Computer Science at NYU Courant (Spring 2025), focusing on Natural Language Processing (NLP), with particular interest in controllable decoding and inference acceleration for large language models (LLMs).

Previously, I worked as a Software Development Engineer at the Big Data Architecture Department of Bilibili, Real-time Computing Team in Shanghai. My work focused on cloud computing, real-time computing, unified streaming and batch processing, and storage-compute separation.

I graduated with a bachelor’s degree in Mathematics from the School of Mathematics at Shandong University (山东大学数学学院), where I was advised by Yuming Xv (许玉铭). During this time, I also collaborated with Yun Jiang (蒋云), Ye Qie (邱耶), and Mengqiao Sun (孙梦桥) from the Zhejiang Peking University Advanced Institute of Information Technology.

My current goals are to advance research in LLMs while bridging the gap between theoretical innovation and practical application.

I am currently researching the integration of real-time and batch processing, Serverless Computing, as well as cloud-native computing construction at the Big Data Architecture Department of Bilibili Inc. in Shanghai, China. My work involves optimizing computing engines and algorithms to achieve efficient resource consumption in large-scale computing clusters. My recent focus is on optimizing Flink's capabilities of real-time and batch processing and designing an intelligent cross-architecture batch task migration management system. If you are seeking any form of academic cooperation, please feel free to email me at [email protected].

• Personal Pages: https://huyunhai-alex.github.io/ (updated recently🔥)

Computer Network, Principles of Computer Composition, Artificial Intelligence, Data Structures, C++ Programming, Operating Systems, Discrete Mathematics, Database Systems, Software Engineering, etc.

1. Python Language Programming, by Song Tian, Beijing Institute of Technology, July 2019
2. Hands-on PaddlePaddle & OpenVINO AI Model: Data Center to Edge Course, Intel AI Lab, July 3, 2019
3. Acquisition and Processing of Three-Dimensional Geometry, Shandong University, August 2019

1. Hu Yunhai, Wan Jie. Portable Spinal Posture Detection and Correction Device [P]. Shandong Province: CN210056373U, 2020-02-14.
2. Hu Yunhai, Zhang Yang, Wang Ding. Data Processing Method and Device [P]. Shanghai: CN115509635A, 2022-12-23.

1. Shandong Province Software Application Innovation Design Competition, Second Prize, December 2018
2. WeBank, First Financial Technology University Technical Competition (Artificial Intelligence Track), Excellence Award, August 2019. Shandong University Second-Class Academic Scholarship at the University Level, October 2019
3. Shandong University Special Talent Scholarship (Science and Innovation) at the University Level, October 2019
4. In the 5th Shandong Province College Students' Software Application Innovation Design Competition, First Prize, November 2019
5. The 4th National College Students' Invention Method Innovation and Application Competition, Second Prize, October 2020
6. Shandong University Third-Class Academic Scholarship at the University Level, October 2020

• Member of Apache Flink Forward Asia
• Member of Alibaba Cloud Developer
• Member of Shandong University Computer Science Society
• Contracted photographer of Visual China