About Me

Zhaokun Wang

👋 Hey there!

I’m Zhaokun Wang, a Master’s candidate in Computational Linguistics (AI Track) at Heidelberg University, Germany, with a background in Computer Science and software engineering.

My main interests are LLM and VLM agents, multimodal AI, AI agent evaluation and safety, and practical AI systems. I’m especially interested in what happens when language models move beyond text generation and begin to interact with interfaces, tools, memory, and real-world environments.

Alongside research, I enjoy building systems that connect models, APIs, tools, and software infrastructure. My background spans both machine learning and full-stack engineering, so I tend to approach AI problems from both a research and an engineering perspective.

📃 Resume (English) · Lebenslauf (Deutsch) · 简历（中文） (last updated: Aug 2026)

Education

🎓 M.A. Computational Linguistics, AI Track
Heidelberg University, Germany · 2024 – 2026 (Expected)

My studies focus on agentic AI, multimodal language models, computer vision, VLM-based grounding, knowledge-enhanced systems, and human–AI interaction.

Selected coursework includes:

  • Multimodal Language Models
  • Computer Vision
  • Knowledge Graphs
  • Temporal Reasoning
  • AI-Assisted Software Engineering

🎓 B.Eng. Computer Science
Central South University of Forestry and Technology, China · 2019 – 2023

Built a strong foundation in algorithms, data structures, databases, and software engineering, with experience developing full-stack applications and practical software systems.

Professional Experience

🤖 AI Research Intern / Master’s Thesis Student — Volkswagen AG
Wolfsburg, Germany · 2026 – Present

My internship work involves computer vision and vision-language models, with a focus on applied multimodal AI.

My Master’s thesis explores AI agent safety and robustness, with an emphasis on evaluating agent behavior in interactive settings.

💻 Software Engineer — Shenzhen S.C New Energy Technology Corporation
Shenzhen, China · 2023 – 2024

Developed and maintained enterprise MES software using TypeScript, C#, SQL, and .NET, supporting manufacturing workflows and production data management.

The experience gave me a strong engineering foundation in translating real-world requirements into reliable software, working with existing systems, and balancing implementation speed with maintainability.

Technical Interests

🤖 AI Agents & LLM Systems
LLMs · RAG · MCP · Tool Calling · Context & Memory Management

🧠 Machine Learning
PyTorch · VLMs · LoRA · Quantization · Knowledge Distillation · Model Evaluation

💻 Software Engineering
Python · Java · TypeScript · C# · SQL · FastAPI · REST APIs · .NET

☁️ Engineering & Infrastructure
Azure · Docker · Linux · Git · CI/CD

Outside of Work

Outside research and engineering, I enjoy music, hiking, fitness, films and series, and exploring new technologies.

I also maintain this website as a place to document projects, experiments, research notes, and things I learn while building AI systems.

Languages

🇨🇳 Chinese — Native
🇬🇧 English — Fluent
🇩🇪 German — Basic

GitHub ·
LinkedIn ·
Personal Website

📧 Academic: wang@cl.uni-heidelberg.de
📧 Email: torchkatze@outlook.com
📍 Heidelberg, Germany