I build scalable, open-source data ecosystems designed for complex transitions in agriculture and sustainability. With a background in Applied Data Science and Computer Vision, I focus on bridging the gap between high-level strategy and robust technical implementation.

My work at HAS green academy involves designing cloud-agnostic architectures that prioritize interoperability and transparency. I advocate for reproducible workflows and open standards over proprietary lock-ins.

Technical Focus:
- Engineering: Python, Airflow, Docker, PostgreSQL.
- Applied AI: Computer Vision (Animal Behavior), LLMs, Machine Learning Engineering.
- Data Management: CKAN, Open Metadata Standards, Sensor Data Integration.
- Domain Expertise: Sustainable Transitions, Agriculture, Learning Analytics.