- DatasphereAI (not officially founded yet)Founder of DatasphereAI (2025)November 2024 - Heute (7 Monate)Saarbrücken, SL, GermanyWe are an AI-driven startup specializing in multi-agent systems and large language models (LLMs) to revolutionize data evaluation and process automation. Our solutions streamline complex workflows, enabling businesses to extract actionable insights and achieve operational excellence. By leveraging cutting-edge AI technologies, we create dynamic, scalable systems that adapt to diverse industry needs. Our mission is to empower organizations with seamless, intelligent automation for smarter decision-making and increased efficiency.
- Oliver Köhn – Data & AI ExpertFreelance Consultant Data & AINovember 2024 - Heute (7 Monate)66 Saarbrücken, GermanyFocusing on Data & AI, I specialize in creating tailored solutions to help businesses unlock the potential of their data. From building efficient data pipelines to implementing AI-driven insights, I provide innovative strategies to turn complex data into actionable results and support smarter decision-making.
- PCG DACHSenior Data & AI EngineerAugust 2024 - November 2024 (3 Monate)66 Saarbrücken, Germany• AI Platform: Designed a comprehensive AI platform using RAG, AWS, Python, Svelte, and TypeScript to deliver various generative AI solutions, from classic Retrieval-Augmented Generation (RAG) to advanced content creation techniques. This centralized platform enabled scalable, multi-functional AI capabilities, streamlining content generation and providing flexible, data-driven solutions to meet diverse business needs.• AI Pipelines: Developed intelligent document processing pipelines with Azure, LLMs, and Python, automating complex document evaluation and reporting workflows. These pipelines provided faster, more accurate insights, enhancing reporting efficiency and enabling real-time decision-making for business users.• Predictive Analytics for Machine Data: Built a centralized predictive analytics system for monitoring machine conditions using Azure, Microsoft Fabric, Python, and SAP. By integrating machine data, this solution provided real-time insights into equipment health, reducing unexpected downtime and boosting maintenance efficiency through proactive failure prevention.
- Doctor of PhilosophyUniversität des Saarlandes2020Doctor of Philosophy - PhD, Physics
- Doctor of PhilosophyUniversity of Wisconsin-Madison2019Doctor of Philosophy - PhD, Physics
- Master of ScienceUniversität des Saarlandes2015Master of Science - MS, Physics
- Bachelor of ScienceUniversität des Saarlandes2014Bachelor of Science - BS, Physics
- Master of ScienceIU International University of Applied Sciences2024Master of Science - MS, Data Science