Available to hire
I’m a data science and AI engineer based in Mannheim with a proven track record of delivering scalable AI-powered solutions across trade, logistics, and policy domains. I enjoy turning messy data into actionable insights and building end-to-end ML pipelines that move from research to production.
My work combines multi-agent systems, RAG-based architectures, and cloud-native tooling. I thrive in cross-functional teams, lead PoCs, implement MLOps, and ship practical AI tools with a strong focus on reliability and real-world impact.
Language
German
Intermediate
English
Fluent
Work Experience
AI Specialist (Founding AI Engineer) at SARHUB4TECH
January 1, 2025 - November 5, 2025Shipped an end-to-end multi-agent application for trade and logistics handling multilingual commodity emails. Built a multi-agent document parser and a hybrid RAG (graph + vector) pipeline powering a multilingual chatbot. Implemented a FastAPI backend with automated CI/CD on Azure via GitHub Actions. Led ML/Software engineering efforts on PoC development and model improvements.
AI Engineer at DPS-UnternehmerTUM, Deutsches Rotes Kreuz
December 1, 2024 - December 1, 2024Built KIRK – KI Rotes Kreuz, an agentic AI-driven reporting tool reducing reporting time by 96%. Created a scalable dockerized tool handling over 1000 documents, integrated with LangChain-based RAG and multi-agent workflows. Implemented MLOps workflows using LangSmith for prompt/version tracking and evaluation. Evaluated agent performance using implicit user feedback and LLM evaluation metrics.
Data Scientist, Student Assistant at Philipps-Universität Marburg & ZEW
September 1, 2024 - September 1, 2024Implemented a RAG-based system with a fine-tuned LLM and NER agent to process 1.4M privacy policies. Developed a time-series-based system to detect boilerplate content in German privacy policies using BERT. Orchestrated multiprocess scraping of 7.5M+ docs using AWS; analyzed data for 662K firms using SQL on BigQuery.
Data Scientist, Working Student at Würth-Gruppe
March 1, 2023 - March 1, 2023Improved ML model accuracy on a 1.5M customer dataset with XGBoost, ensemble models and neural networks. Developed an interactive tool for customer segmentation; optimized ML pipelines, boosting processing speed by 80%.
Data Science Intern at Würth-Gruppe
March 1, 2023 - March 1, 2023Built a Hybrid Recommendation System with 75% accuracy using deep neural networks. Performed large-scale cross-selling analysis using SQL, Spark, and scikit-learn. Engineered end-to-end ML pipelines from data integration to deployment for a recommendation system.
System Engineer at Tata Consultancy Services
August 1, 2021 - August 1, 2021Implemented ML models and data pipelines for time-series IFRS9 outstanding financial amounts. Collaborated on a Review classification model, achieving a 40% improvement in customer handling efficiency. Built responsive UIs with TypeScript for AI-powered applications. Reduced application testing time by 90% with automation scripts using Selenium and Java.
System Engineer at Tata Consultancy Services (TCS)
August 1, 2021 - August 1, 2021Implemented ML model and data pipelines for time series models for IFRS9 outstanding financial amount; collaborated on Review classification model, achieving a 40% improvement in customer handling efficiency; built responsive UIs with TypeScript for AI-powered applications; reduced application testing time by 90% with automation scripts using Selenium.
Education
Master of Science in Data Science at Universität Mannheim
September 1, 2021 - June 1, 2024Bachelor of Engineering in Electronics & Communication Engineering at Mar Athanasisus College of Engineering
August 1, 2014 - August 1, 2018Master of Science at Universität Mannheim
September 1, 2021 - June 1, 2024Bachelor of Engineering at Mar Athanasisus College of Engineering
August 1, 2014 - August 1, 2018Qualifications
Industry Experience
Software & Internet, Professional Services, Education, Non-Profit Organization
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