AI ENGINEERING

CV

A concise overview of experience, skills, and education.

Profile

AI Engineer focused on production-grade retrieval, agentic LLM systems, and evaluation. Builds reliable, human-centered AI products.

Experience
Senior AI Engineer — Ramboll
2025–Present
  • Automated report writing software: retrieval evaluation, ...
  • Retrieval and RAG best practices research and documentation
AI Engineer — Ramboll
2023–2025
  • chatbot ...
  • conceptual design of AI part of automated report writing software (data and context, modularity, ...), implementation,, engagement with stakeholders
Data Scientist — Alfred Wegener Institute
2020–2023
  • Built modular data pipelines and evaluation workflows (nested CV, metric selection)
  • Geo-data processing and visualization; unified large datasets for modeling
  • Classical ML modeling; systematic metric selection and validation
Project Assistant — Adelphi
2019–2020
  • Developed models for risk assessment and savings estimation
  • Maintained web tools and presented research outputs
System Administrator — Humboldt University of Berlin
2014–2018
  • Linux administration and infrastructure; foundations that support robust engineering
Skills
Retrieval
  • RAG design and tuning (retriever configs, chunking, filters)
  • Quality metrics for retrieval (e.g., Recall@k, nDCG) and diagnostics
Agents
  • Tool-augmented workflows (plans, tools, memory)
  • Safe, inspectable orchestration and execution control
Evaluation
  • Evaluation harnesses for quality, grounding, and robustness
  • Golden sets, prompts/param sweeps, CI gates for regressions
Programming & AI-assisted Dev
  • Python (typing, packaging, testing); FastAPI app integration
  • AI-assisted iteration (GitHub Copilot, Cursor) with code review discipline
Data Pipelines
  • Modular pipelines, reproducibility, and data lineage
  • Handling large, heterogeneous datasets
MLOps / Observability
  • Working knowledge of deployment, tracing, prompt + model versioning
  • Automated evaluation in CI as deployment gate
Cloud
  • Azure (compute, storage, basic deployment)
Education
M.Sc. Physics (Statistical Physics & Data Science)
University of Potsdam • 2022
B.Sc. Physics & Mathematics
Humboldt University of Berlin • 2019
Certifications
Microsoft Certified: Azure AI Engineer Associate
Microsoft • In progress
  • Plan and manage Azure AI solutions
  • Implement generative AI with Azure OpenAI
  • Build NLP and computer vision solutions
  • Implement knowledge mining and information extraction
  • Apply responsible AI principles
Professional Scrum Master I (PSM I)
Scrum.org
  • Scrum framework and empiricism
  • Scrum Master accountabilities
  • Facilitation and coaching
  • Team self-management and continuous improvement
Systemic Process Consulting (Systemische Prozessberatung) — 8-day training
Ramboll Management Consulting • 2025
  • Introduction to systemic change understanding
  • Methods and tools
  • Coaching stance and scope clarification
  • Process design and working with resistance
  • Reflection and feedback
Languages
  • German: Native
  • English: C1
  • French: Basic