Wenting Li

Master’s student in Information Systems at Karlsruhe Institute of Technology (KIT) with academic interests in reinforcement learning, machine learning, and artificial intelligence. Currently building a stronger foundation in sequential decision-making and learning-based intelligent systems, with upcoming practical work on fine-tuning vision-language-action models.

Vision-Language-Action Model Fine-tuning (Ongoing Project)

• Currently working on fine-tuning a vision-language-action model for robot interaction tasks
• Involved in enabling the robot to interact with its environment and complete task-oriented actions
• Gaining practical experience with multimodal learning, action-conditioned modeling, and embodied AI systems

Digital Twin Seminar Project
From Physical Models to Digital Twins: A Data-Driven Simulation Workshop

• Developed a data-driven Digital Twin concept based on physical system modeling and simulation
• Worked on transforming system data into simulation models and analyzing system behavior
• Gained hands-on experience with the Digital Twin development workflow, including modeling, data integration, and conceptual architecture design

Data-Driven Prediction and Model Comparison (Airbnb Dataset)

• Conducted data preprocessing, feature engineering, and exploratory data analysis using Python
• Implemented and compared multiple prediction models, including Random Forests and Neural Networks
• Evaluated model performance using appropriate metrics and analyzed trade-offs between different approaches

Web Application Development (Undergraduate Project)

• Developed a simple web-based memo application using Python (Flask), HTML, and a database
• Gained basic experience in backend–frontend interaction and database-supported applications

User Interface & Prototyping (Undergraduate Coursework)

• Designed a high-fidelity prototype for an online flight ticket booking system using Axure
• Learned fundamental principles of user interaction and interface design

Data Processing & Visualization Experience

• Experience with data analysis and visualization using Python libraries (Pandas, NumPy, matplotlib)
• Familiar with presenting analytical results through structured visual outputs and dashboards

• Reinforcement Learning
• Artificial Intelligence
• Machine Learning
• Data Science / Statistical Learning
• Optimization / Decision Making