AI Product Management, SAP HANA Cloud | M.Sc. Data Science @ Mannheim | Applied AI, RAG & ML Systems
I am an M.Sc. Data Science student working in AI Product Management for SAP HANA Cloud, with a focus on applied AI, RAG evaluation, and reproducible machine-learning systems. My work spans multi-agent supply chain optimization, diversity-aware RAG evaluations, and LLM-assisted NLP pipelines.
| Project | What it solves | Key evidence |
|---|---|---|
| FMCG Multi-Agent Supply Chain Optimizer | Multi-agent decision-support for demand, production, and routing | Chronological evaluation, per-SKU model selection and 23 passing tests. |
| Context Matters — Medical RAG Evaluation | Retrieval quality comparison for medical question answering | ColBERTv2 best at Recall@5 = 0.751 over 1,000 PubMedQA questions |
| Economic Framing Annotation | LLM-assisted annotation pipeline | F1 = 0.811 (Threat) validated against 200-row human gold standard |
| Discourse Analyzer | Cross-platform narrative tracking and analysis | FastAPI-based analysis platform locally validated with 31 passing tests and a successful API startup. |
Languages & Core Data:
Data Science & Machine Learning:
Frameworks & Engineering:
- 🔭 Current Focus: Exploring reliable agentic workflows and applied AI use cases for enterprise data platforms.
- Evaluating retrieval components and generation limits in RAG architectures.
- Engineering reproducible research pipelines using R, Python, and open-source tooling.