07/13/2026 updated
100 % available
EO Consultant | Remote Sensing, GIS & Agricultural Monitoring | Python · GEE · PostGIS · QGIS
Sofia, Bulgaria
Only remote
MSc, Geographic Information Systems - University of Porto, PortugalAbout me
I turn satellite data into results across agriculture, climate and land conservation: crop monitoring for global F&B, crop cycle and crop type detection, field delineation, Natura 2000 habitat mapping, drought and land cover analysis, EUDR analysis. I'll help you see your risks before they land.
AI AgentsGIS ApplicationsGoogle EarthPython (Programming Language)Machine LearningPostGISQuantum GIS (QGIS)Photogrammetry
Remote Sensing & Satellite Imagery (Since 2020)
Hands-on experience with Sentinel-1/2, Landsat, Maxar, Planet, aerial and drone orthophotos, including building and running production satellite-imagery pipelines for crop monitoring across large agricultural portfolios for global F&B clients.
Python & Machine Learning for Geospatial Processing (Since 2020)
Python libraries such as Rasterio, GeoPandas, Shapely, GDAL, Scikit-learn, and NumPy for processing satellite imagery, ML-based classification, cleaning geospatial datasets, and automating pipeline workflows.
GIS Platforms & Spatial Databases (Since 2020)
Proficient use of Google Earth Engine, Sentinel-Hub, QGIS, and PostGIS/PostgreSQL for spatial analysis and managing geospatial data.
Crop Monitoring & Phenology Analysis (Since 2020)
Development of crop type and crop cycle detectors from temporal signatures, validated against ground-truth data. Manual and automated field delineation for agricultural datasets.
Training Data & ML Ground Truth (Since 2020)
Creation and quality control of labeled geospatial datasets for machine-learning models, from manual delineation and annotation standards to validation workflows: I know what clean training data costs and what bad training data breaks.
Cloud & Automation (Since 2021)
Experience with GCP, scheduled pipelines, Git, and STAC catalogues for automating recurring data-preparation and statistical-analysis tasks.
Cartography & Environmental Mapping (Since 2017)
Cartography production for conservation and land-management projects, including Natura 2000 sites; field campaigns, ecological surveys, and ground data collection turned into structured GIS datasets. Author of the official topography manuals.
Drone Mapping & Photogrammetry (Since 2017)
Drone mission planning and processing; production of orthomosaics, digital elevation models, and 3D models from drone and aerial surveys, managing the full workflow from flight imagery to delivered product.
Supply Chain & Compliance Analytics (Since 2020)
Deforestation-risk and sustainability compliance workflows (incl. EUDR) combining environmental indicators for agricultural supply-chain clients.
Experience
Professional experience10+ years
Freelancer since2017
Languages
BulgarianBasic knowledgeEnglishFluentPortugueseNative speaker
Project history
Worked on the satellite-imagery and crop-monitoring side of an agritech platform, building and running pipelines for client deliverables. Built satellite-imagery pipelines processing Sentinel-1 and Sentinel-2 data at scale in Python and GEE, developed cloud-masking routines, created crop detectors and phenology calculators, set up EUDR compliance workflows, and automated recurring data-preparation and statistical-analysis tasks.
A mix of digitisation, photogrammetry, and mapping work for different clients. Included building-footprint vectorisation for a WHO project, production of orthomosaics and digital elevation models from drone and aerial surveys, work with very-high-resolution commercial imagery (Maxar, Planet), and cadastral mapping and cartographic digitising for municipal and private clients.
Environmental mapping and fieldwork for conservation projects. Produced cartography for Rede Natura 2000 sites, ran field campaigns and ecological surveys, digitised and quality-checked vegetation and habitat boundaries from aerial imagery, and supported environmental monitoring and impact-assessment deliverables.