Curriculum Vitae
Research Interests
- Human-Centered AI: Explainable AI, model interpretability, human-AI interaction, trustworthy AI.
- Vision-Language Models: visual question answering, chart question answering, human gaze and attention modeling.
- Representation Learning: embedding and metric learning, image retrieval, cross-domain AI applications.
- Applied AI Systems: AI agents, LLM-powered applications, enterprise workflow integration.
Working Experience
Advanced System Engineer (AI Product & System Integration)
Sanhua Automotive Europe GmbH
Built and deployed LLM-powered applications inside the company's Weaver OA system, using Python, FastAPI, and REST APIs to connect OA, Infor LN ERP, and SQL databases. The resulting platform serves 500+ employees across four European business units and cut complaint processing from over 3 months to under 2 weeks.
Junior Application Assistant (Working Student)
Sanhua Automotive Europe GmbH
Built and maintained enterprise Windows infrastructure (Active Directory, DNS/DHCP, VPN) and deployed the full IT environment for a new European business unit covering 50+ employees and 100+ devices, while automating IT operations with Python.
Education
M.Sc. Information Technology (INFOTECH)
Universität Stuttgart
Selected coursework: Deep Learning, Imaging Science, Deep Learning Applications for Communications, Embedded Systems Engineering, Service Computing, and Communication Networks Architecture and Design.
Master's thesis: "Analysing Human vs. Neural Attention in CQA."
Related seminars and research explored computational EEG signal visualization (ICA, baseline correction), image embedding retrieval, VQA attention extraction, model transparency and human-computer interpretability.
B.Eng. Communication Engineering
University of Electronic Science and Technology of China (UESTC)
Selected coursework: Advanced Math, Computer Communication Network, Multimedia Communications, Computer Vision, Software Design Principle, Information Theory, Signal and Systems, Digital Signal Processing, and Communication Principles.
Bachelor's thesis: "Image Salience Detection with Bit-plane Slicing."
Related seminars explored communication technology simulation (TCP, UDP, and multimedia coding and communication). Participated in a laboratory research project on computer vision and image saliency detection from sophomore to senior year, leading to an undergraduate innovation competition project and bachelor's thesis.
Technical Skills
- Programming Languages Python, JavaScript, Java, C, Julia, MATLAB, Go, Bash/Shell Scripting, SQL.
- AI / ML Frameworks & Explainability PyTorch, TensorFlow, scikit-learn, torchvision, Hugging Face Transformers, OpenCV, SHAP, LIME, Grad-CAM, Attention Visualization.
- LLM / GenAI Application Development OpenAI API, Ollama, Prompt Engineering, Fine-tuning (LoRA), Function Calling / Tool Use, Multi-agent Systems, Model Context Protocol (MCP).
- Data Science, Visualization & Signal Processing NumPy, Pandas, Matplotlib, Plotly, Jupyter Notebook, Streamlit, Gradio, PyEMD, scipy.signal, SVM/SVR, Time-Series Analysis.
- Backend, APIs & Databases FastAPI, Flask, REST API, MySQL, MS SQL Server, SQLite.
- Cloud, Containers & DevOps AWS (EC2, Lambda), Google Cloud Platform (Colab), Hugging Face Hub & Playground, Docker, Kubernetes, CI/CD (GitHub Actions, GitLab CI).
- Development Tools & Research Writing Git, GitHub, VS Code, Anaconda/conda, virtualenv/venv, Postman, WSL2, LaTeX, Overleaf.
- Enterprise Systems & IT Infrastructure Infor LN ERP, Weaver OA System, Low-Code Development Platforms, Windows AD, SD-WAN, VPN, WLAN Design, Information Security & Compliance, Wireshark.