Professional Overview
https://geospatialconsulting.de/ -- Machine learning lead with 15 years of experience turning data into services. Peer-reviewed publications including CVPR 2026 and IEEE Geoscience and Remote Sensing Magazine, and research positions at ESA, DLR and TU München covering foundation models, embeddings, image segmentation, time series and deployment.
Experience
AI Expertise
Skills
Employment Type
Key Achievements / KPIs
- Shipped 2 geospatial products for my clients in the last months.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Foundation models, Self-supervised learning, compression
Key Achievements / KPIs
- Benchmark dataset for foundation models, CVPR paper
AI Expertise
Skills
Employment Type
Description of Responsibilities
- ➢ Building a foundation model for climate, agriculture and energy
- ➢ Time series forecasts
Education
Field of Study: Machine Learning, Remote Sensing
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
