Curriculum Vitae
Education
Technical University of Berlin
M.Sc. in Computer Engineering (3.0/4.0)
2025/04 – 2026/09
Berlin, Germany
University of Erlangen-Nuremberg
M.Sc. in Medical Engineering, Grade: 1.8 (3.2/4.0)
Teaching Assistant of Biomedical Signal Analysis
2023/10 - 2025/03
Erlangen, Germany (Transferred from)
Shanghai Jiao Tong University
University of Michigan – Shanghai Jiao Tong University Joint Institute
B.Eng. in Electrical and Computer Engineering, GPA: 2.7/4.0
Minor in Data Science. Degree taught entirely in English.
2017/09 - 2023/06
Shanghai, China
Experience
ITER Organization
AI Proof-of-Concept Intern
2025/09 – 2026/02
Saint-Paul-lez-Durance, France
- Real-time document type suggestion: Engineered a high-throughput inference service for document classification (50+ types) using FastAPI, ModernBERT on vLLM and vector search. Achieved >90% Top-3 Micro AP while maintaining <3s latency under heavy load (30 concurrent requests, ~700 tokens/req).
- Searching large document bases: Prototyped and delivered agilely multiple searching services using Streamlit and vector database on heterogeneous data sources, implementing semantic reranking and LLM scoring.
- Event-Driven AI Agent for IT Support: Architecting a scalable Chain-of-Agents system using LangGraph and RabbitMQ to orchestrate Jira ticket resolution. Integrated SAP, Jira, and Confluence MCPs for context-aware reasoning, automating resolution paths, and suggestions for 100+ tickets daily.
ANKI Lab, University of Erlangen-Nuremberg
Research Assistant
2024/04 – 2024/07
Germany
- Designed and implemented a biomedical video segmentation workflow with PyTorch
Shanghai SmartState Co. Ltd.
Product Management Intern
2021/05 – 2021/08
Shanghai, China
- Conducted market analysis and procurement of 3D CAD software for a novel GenAI product (generating CNC file)
Personal Projects
Individual Developer
2025/12 – Present
Open-Source Contributions:
- Actively contributing to high-profile Rust projects including nushell and uutils/coreutils, focusing on bug fix
System Programming with Rust:
- Implementing a SQLite clone from scratch to master low-level storage engines, B-tree indexing, and memory management in Rust.
LoRA merging for Continual Learning of Pretrained Vision Transformer
Research Project, RSiM Lab, BIFOLD Berlin
2025/04 – 2025/08
- Integrated LoRA into SpectralGPT (ViT) to enable multi-modal (Spectral/Visual) processing for remote sensing tasks.
- Conducted performance benchmarking on high-performance computing (HPC) clusters to evaluate model scalability.
- Implemented LoRA merging strategies to mitigate catastrophic forgetting in Continual Learning, achieving 50% macroAP retention.
Feed-Forward Network (FFN) with CUDA for Data and Model Parallelism
Course Project, Multi-core Architecture and Programming, University of Erlangen-Nuremberg
2024/04 - 2024/07
- Developed a FFN from scratch using C++/CUDA, implementing custom kernels without external libraries
- Architected and compared Data Parallelism (DP) and Model Parallelism (MP) schemas with CUDA Stream to emulate parallel computing on single GPU, optimizing training throughput
- Benchmarked their performance on MNIST, achieving 30% training speedup for DP with no accuracy degradation and 60% for MP with minimal accuracy degradation
BERT on ARM: Training on Server and Real-time Inference on Edge
Bachelor Thesis, Efficient and High Performance Computing Lab, Shanghai Jiao Tong University
2021/09 - 2022/01
- Orchestrated a computational offloading schema for Huggingface transformers to balance compute loads between cloud servers and NVIDIA Jetson edge devices
- Optimized transformer inference on ARM architectures, achieving real-time latency for Question Answering tasks