CV

Short version without employer name. The evidence for the positions is in the case studies. I send the full version on request by email.

CV as PDF

Positions

since 07/2025
AI Engineer, Mid-sized meat industry group, three sites
  • Built and lead the group’s AI team of four people, reporting to the management board. Responsible for governance, data quality and the introduction of AI across the group.
  • Designed, built and operate the internal forecasting and planning platform as the sole developer, from concept to production.
  • Replaced manual demand planning with forecasts that drive purchasing and production, measured against the previous-week carry-forward.
  • AI assistant with access to the platform data on a locally run language model, plus a news early-warning system that condenses about 20 sources into a market picture.
  • Introduced Microsoft 365 Copilot in administration with a training programme and documented use cases in the departments.
  • Replacing the group’s central integration platform, rebuilt on Python and Dagster with parallel run and cut-over day.
05/2023 to 05/2025
Sabbatical, Hawaii
  • Digitised a dive shop: developed a point-of-sale, finance and inventory system as a web application.
  • PADI Dive Master: leading international groups, risk management and decisions under pressure in a safety-critical environment.
  • Hence the name of this site: Nalu is Hawaiian for wave.
09/2022 to 03/2023
BI Data Analyst, Revenue Development, E.ON Energie Deutschland GmbH, Munich
  • Automated quality assurance for regulatory price-adjustment letters and contract-level procurement costs in the pricing process.
  • Designed an initial-margin report for value steering of the commodity portfolio.
11/2018 to 10/2019
Data Analyst, Digital Analytics (working student), Payback GmbH, Munich
  • Designed and implemented automated data pipelines for monitoring coupon campaigns.
06/2016 to 10/2018
Process and Customer Management, Operations (working student), eGym GmbH, Munich
  • Developed and improved a natural-language chatbot to automate customer support.

Education

graduated 2022
Bachelor of Science, Physics, Ludwig-Maximilians-Universität München, focus on theoretical physics, minor in meteorology

Thesis: Validation of high-frequency LIDAR sensor data under meteorological influences using non-commercial UAS systems (Python-based signal analysis).

Skills

Leadership and steering
  • Team building
  • Roadmaps
  • Decision papers for management
  • Prioritisation
  • Release ownership
  • Training programmes
  • Scrum
  • Kanban
Governance and security
  • Access concepts (RBAC)
  • Protection needs analysis
  • GDPR (records of processing, TOMs)
  • EU AI Act
  • Entra ID
  • Microsoft 365 administration
  • Audit logging
  • Secrets management
ML and AI
  • LightGBM
  • scikit-learn
  • Temporal Fusion Transformer
  • Time series forecasting
  • Backtesting
  • Calibration
  • Anomaly detection
  • Customer segmentation
  • Churn detection
  • MLflow
  • RAG
  • Embeddings
  • Local language models (Ollama, LM Studio)
  • LLM tool use
  • Microsoft 365 Copilot
  • AI-assisted development (Claude Code)
Data engineering
  • ETL/ELT
  • Dagster
  • SAP R/3 (RFC)
  • Microsoft Graph API
  • PyODBC
  • PyArrow
  • Polars
  • Pandas
  • NumPy
  • Data quality checks
Programming
  • Python
  • SQL
  • PowerShell
  • TypeScript
  • JavaScript
  • HTML
  • CSS
  • FastAPI
  • Flask
  • Pydantic
  • SQLAlchemy
  • React
  • Vite
Databases and storage
  • Microsoft SQL Server
  • PostgreSQL
  • DuckDB
  • SQLite
  • Parquet
  • Qdrant
  • Databricks
BI and visualisation
  • Power BI
  • Recharts
  • Matplotlib
  • Altair
Infrastructure and operations
  • Linux
  • WSL
  • Docker
  • Nginx
  • Git
  • GitHub Actions
  • Azure DevOps
  • Prometheus
  • Grafana
  • OAuth2 (SSO)
  • Windows Server

Case studies

What stands behind the positions, with numbers and measurement: