04.10.2026 aktualisiert
100 % verfügbar
Remote Sensing Scientist | Geospatial AI & Earth Observation Platform Architect/Engineer
Erzhausen, Deutschland
Erzhausen +500 km
Dr.sc.nat (Ph.D.) in Remote Sensing of Water Systems, University of Zurich, SwitzerlandÜber mich
PhD in remote sensing and CTO of three EO ventures, secured ESA BIC Hessen fund. I take satellite data from raw sensor physics to ML models and cloud-native products. Clear scope, honest advice, clean code. Based in Darmstadt, remote or on-site. MTB rider, runner and wildlife photographer.
Skills
RAGMLOpsLangChainJavaJavaScriptGeoinformationssystemArcgisComputer VisionDaasUmweltanalytikUmweltberatungUmwelterziehungGeolokalisierungGeoreferenzierungGeodäsie
Earth Observation & Geospatial AI Platform Architecture
Architecture of multi-mission satellite data platforms processing Sentinel-1/2/3/5P, Landsat 7/8/9, MODIS, OCO-2/3, MetOp GOME-2A/2B, ECMWF ERA5/6, and GEOS at scale. Design and deployment of SaaS, PaaS, and DaaS geospatial solutions using GeoServer, PostGIS, GDAL, Kubernetes, Quarkus, Keycloak, MinIO, and FastAPI. Implementation of WMS/WMTS/GeoTIFF-COG pipelines for cloud-optimized satellite data access and visualization.
GeoAI & Machine Learning for Satellite Data
Application of ML/DL algorithms including KMC, SVM, RF, XGBoost, NN, kNN, CNN, LSTM, ARIMA, and Isolation Forest for large-scale satellite image classification, anomaly detection, and time-series analysis. Development of GeoAI agents and coding assistants using LLMs such as DeepSeek, LLaMA, Claude, Gemini, and OpenAI, with RAG pipelines via LangChain, Ollama, and LM Studio.
SAR & Multi-Sensor Remote Sensing
SAR processing including Interferometry (InSAR) and Polarimetry, plus multi-sensor data fusion across radar, optical, thermal, and LiDAR. Multi-temporal analysis, spectral indices such as NDVI, NDWI, EVI, SAVI, NDBI, NDRE, and CI, land cover classification, LULC change mapping, and multi-temporal change detection. Physics-based forward modelling for ecosystem water and energy flux estimation using SIF and radiative transfer models.
Full-Stack Geospatial Engineering
Backend development in Python, Java, Bash/Shell, and C/C++. Frontend development using JavaScript/TypeScript, HTML/CSS, LeafletJS, Turf.js, and D3.js. Cloud infrastructure with AWS (EC2, S3, RDS), Docker, Kubernetes, Terraform, Ansible, CI/CD, Redis, and PostgreSQL.
Cloud & MLOps
Cloud-native big data architectures for scalable EO data workflows. Delivery of production-grade geospatial SaaS/PaaS products and open-source GeoAI tools.
Earth Observation Drones & Edge AI Platforms
Development of terraSAT, a multi-sensor drone platform combining optical, SAR, and hyperspectral payloads with onboard edge AI inference. EO drone sensor engineering spanning optical and SAR sensor integration, platform calibration, and real-time data pipelines.
Programming & Data Science
Python with Scikit-learn, PyTorch, TensorFlow, Dask, NumPy, Xarray, Rasterio, GDAL, Geopandas, Fiona, and Shapely. Also R, Java, JavaScript/TypeScript, C/C++, Bash/Shell, and SQL.
Startup & R&D Leadership
Founder and CEO of spectralGeoAI, Co-Founder and CTO of QuantumED UG (ESA BIC Hessen Germany), and Co-Lead and CTO of Sensor Aktor GmbH. Led cross-institutional R&D, third-party funding acquisition, strategic planning, and project proposal writing under ESA BIC mentorship.
Scientific Communication & Research
Publication of 10 peer-reviewed articles with H-Index 10 and 876+ citations. Talks at scientific conferences. Supervision of graduate students and interns in remote sensing and geospatial AI research projects.
Erfahrung
Berufserfahrungmehr als 10 Jahre
Freelancer seit2026
Sprachen
DeutschgutEnglischverhandlungssicher
Projekthistorie
Developing end-to-end AI system for delivering EO as decision-ready intelligence through GeoAI, software, data, and platform services (GeoAIaaS, SaaS, DaaS, PaaS). Architecting composable GeoAI Skills with task-specific capabilities and building autonomous GeoAI Agents. Leading development of terraSAT, a next generation multi-sensor EO drone platform with onboard edge AI.
Developing state-of-the-art Earth System Models as Satellite Data Services using cutting-edge geospatial tools and AI technologies. Architecting cloud-native solutions with GeoServer, GDAL, Kubernetes, Quarkus, and Keycloak. Full-stack development in Java, Python, JavaScript, and TypeScript. Implementing AI ML/DL pipelines for geospatial data processing at scale.
Building and leading cloud-native Web GIS and Remote Sensing platform for automated multi-sensor satellite data access, analysis, and visualization at scale. Architecting cloud-native solutions with GeoServer, GDAL, Kubernetes, Quarkus, and Keycloak. Full-stack development and delivery of SaaS, PaaS, and DaaS solutions.