Michael

Academic Performance

2024.9-Now Shanghai Jiao Tong University
Electrical and Computer Engineering

Relevant Coursework: C++, Data Structure, Honor Calculus, Probability, Computer Architecture, Logic Design

Technical Skills:

Utilize OpenMP, MPI and SIMD vectorization for parallel programming. Experienced in compiling and analyzing complex projects by using CMake, perf and flame graph. Learned basics about GPU architecture and CUDA programming.
Attend global supercomputer competitions. Have attended ASC25 and Indy SCC25.
Participate in optimization projects on large-scale open-source softwares, like AlphaFold3 and DeepSeek Inference. Accelerate programs by reconstructing operators and optimizing multi-thread scheduling.
Independently deploy the DeepSeek-R1-671B model on the TPU Cluster. Proficient in deploy pipeline.
Contribute to and sustain the open-source HPC guide https://xflops.sjtu.edu.cn/hpc-start-guide/.

Design control algorithm for robot arm in fruit picking scenarios based on Reinforcement Learning.
Apply for a patent for the invention of new learning method based on probability experience retrospection
A short-term internship in Galbot. Conduct research on Visual Language Action (VLA) Model and World Model Actions (WMA) to improve robot arm’s performance in complex real-world scenarios. Contributed to a paper submitted to the Robotics: Science and Systems (RSS) conference.