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Hello! I am Abigale (Zixin) Dong, currently a fourth-year
Computer Science student at ShanghaiTech University.
My academic journey has led me to focus on areas such as
large language models (LLMs), distributed systems, and infrastructures for large-scale machine learning.
In the fall of 2025, I plan to further my studies by pursuing a
master’s degree in Computer Science at both the
University of Amsterdam and Vrije Universiteit Amsterdam in the Netherlands.
I aspire to make the world a more vibrant place through technology.
Computer Science student at ShanghaiTech University.
My academic journey has led me to focus on areas such as
large language models (LLMs), distributed systems, and infrastructures for large-scale machine learning.
In the fall of 2025, I plan to further my studies by pursuing a
master’s degree in Computer Science at both the
University of Amsterdam and Vrije Universiteit Amsterdam in the Netherlands.
I aspire to make the world a more vibrant place through technology.
📫 Contact:
- Email: abigale.dong@outlook.com
- GitHub: AbigaleD
- Website: abigaled.github.io
📄 Personal Information:
- Name: ZiXin Dong
- Status: Student / Recent Graduate
- Date of Birth: April 2003
- Address: No.1 Zhongke Road, ShanghaiTech University, Shanghai, China
- Phone: 18964920697
🏊 About Me:
I have been swimming for 3 years and enjoy long-distance running. I aspire to make the world more interesting through technology.
🌍 English Proficiency:
- TOEFL: 100/120
- CET-4: 580
- CET-6: (score not provided)
🖥️ Technical Skills:
Programming Languages: C, C++, Python, Rust, Matlab, Shell, MySQL, Swift
Tools: Docker, PyTorch, Markdown, LaTeX, Slurm, Linux CLI, Vim, Git
⏳ Availability & Desired Position:
- Availability: One week's notice
- Desired Roles: Software Developer, High Performance Computing Engineer, Algorithm Engineer
🎓 Education:
Bachelor of Science in Computer Science and TechnologyShanghaiTech University, School of Information (2021 – 2025)
(Top 5% in National Entrance Exam)
Core Courses: Computer Programming (C, C++), Algorithms & Data Structures, Operating Systems, Databases, Artificial Intelligence, Machine Learning, Computer Vision
Master's in Computer Science and Technology
Joint Program between University of Amsterdam (Top 3 in EU, Global USNews Global #33) and Vrije Universiteit Amsterdam (USNews Global #78) (2025 – 2027)
💼 Internship Experience (Total 7 Months):
Muxi Integrated Circuit Data Center Project Department (Jul 2024 – Sep 2024)- Adapted PyTorch with CUDA for a self-developed AI chip in a Docker environment and implemented cluster deployment.
- Reproduced deep learning models (CycleGAN, YOLO, pix2pix (GAN), VAE) and optimized image recognition to generate text for assisting visually impaired users.
- Skills: PyTorch adaptation, CUDA programming, Docker, Computer Vision, Deep Learning (GAN, VAE, YOLO)
- Conducted regression prediction tests on a materials dataset to explore various machine learning techniques.
- Optimized PDF OCR extraction and fine-tuned a dataset (200k+ PDFs) using LoRA and proprietary algorithms.
- Skills: Algorithm optimization, OCR parsing
🔨 Project Experience:
Lightweight Large Model Inference System (Rust) (Jan 2025 – Feb 2025)- Optimized core operators (SiLU, RMS Normalization, matrix multiplication) to enhance inference efficiency.
- Supported model loading in safetensors format and correctly constructed the Llama model parameters.
- Developed self-attention computation and autoregressive text generation for AI dialogue functionalities.
- Tech Stack: Rust, ndarray, safetensors, Transformer
- Developed an efficient Gather CUDA Kernel based on the ONNX standard, supporting multiple data types with zero error deviation from PyTorch.
- Optimized performance using cuDNN, ensured scalability for large datasets, and validated with unit testing.
- Tech Stack: CUDA, C++, PyTorch, ONNX, cuDNN
🏆 Competitions:
- 2022: 3rd Prize, National College English Competition (Category C)
- Oct 2024: Silver Award, China Collegiate Programming Contest (CCPC/ACM) Chongqing Women's Special
📚 Research & Publications:
ICRA2024 Paper (2023 Summer)- Fourth author on a project focused on multi-vehicle dispatching and navigation for smart city landscapes.
- Responsibilities included literature review and abstract drafting (in English), generating test data with Python, setting up simulation scenarios, and exploring LLM applications in scheduling.
- Tech Stack: Python
🛠️ Other Skills:
Programming Languages & Tools:
Python
C++
Rust
HTML5
CSS3
Docker
PyTorch
LaTeX
Slurm
Linux CLI