Transferring Big Data Management Tools in Agentic Framework

Institut

Lehrstuhl für Nachhaltige Mobile Antriebssysteme (TUM-ED)

Typ

Semesterarbeit /

Inhalt

experimentell / konstruktiv /  

Beschreibung

The rapid growth of industrial measurement data requires more intelligent and scalable data management approaches. Traditional data management workflows often rely on manual operations and predefined processes, which limit efficiency and flexibility when handling large volumes of heterogeneous data. This internship focuses on transforming existing big data tools used in industrial measurement data management into an agentic framework, where AI agents can autonomously perform data handling, analysis, and management tasks. The project aims to explore how modern AI agent technologies can be integrated with industrial data infrastructures to improve automation, adaptability, and user productivity.

 

Your task:

• Analyze existing measurement data management workflows
• Identify specific data management requirements
• Develop and implement data management skills for AI agents
• Design and prototype agentic workflows for autonomous execution

Voraussetzungen

• Interest in Artificial Intelligence, Large Language Models, and Agent-based Systems
• Familiarity with data management concepts and tools, particularly Excel, Parquet
• Basic Python programming skills
• Good written communication skills for technical documentation and reporting

Möglicher Beginn

sofort

Kontakt

M.Sc. Kai Cui
Raum: 2107.EG.008
Tel.: +49 8928924108
k.cuitum.de

Ausschreibung