Projects

"Do what you can't."

During my studies I have worked on several projects at the university as well as in industries, including autonomous driving perception, web development, robotics and ontology-based reasoning.

ChatBot-integrated Web Application for visualizing underground water storage

ChatBot-integrated Web Application for visualizing underground water storage

Developed a web application that integrates Large Language Models (LLMs) to visualize and analyze underground water storage data, providing intuitive insights and decision-making tools.

PythonFASTAPIMongoDBAzure OpenAIReactDockerCI/CDSpacial Data
3D Perception for Autonomous Driving

3D Perception for Autonomous Driving

Developed a comprehensive 3D perception pipeline integrating LiDAR and camera data for robust object detection, tracking, and sensor fusion in autonomous vehicles.

PythonC++ROS2PyTorchOpenCVPCLDockerSensor FusionCI/CD
LLM-integrated Web Application for visualizing underground water storage

LLM-integrated Web Application for visualizing underground water storage

Developed a web application that integrates Large Language Models (LLMs) to visualize and analyze underground water storage data, providing intuitive insights and decision-making tools.

PythonFASTAPIMongoDBAzure OpenAIReactDockerCI/CDSpacial Data
LLM-based Ontology and Concept-Tree System

LLM-based Ontology and Concept-Tree System

Built an advanced ontology and concept-tree system leveraging Large Language Models (LLMs) to enhance knowledge representation and reasoning capabilities for industrial applications.

PythonStreamlitAzure OpenAILangChainLangGraphNeo4jProtégéMLOpsCI/CD
RAG System for finding relevant job posts for the ITCS München Job Fair

RAG System for finding relevant job posts for the ITCS München Job Fair

An AI powered job search system that uses Retrieval-Augmented Generation (RAG) to help users find relevant job postings for the ITCS München Job Fair.

PythonHuggingfaceMongoDBChromadbDockerCI/CDStreamlitAzure OpenAI
2025-09-19
Reinforcement Learning for Robotics

Reinforcement Learning for Robotics

Implemented reinforcement learning algorithms to enable autonomous agents to learn optimal policies for complex tasks in dynamic environments.

PythonPyTorchROS2