I’m Cengiz Avcı, a Founding AI Engineer at globeholder.ai, where I build agentic, cloud-based AI systems and transformer-based geo-foundation models.

Right now my focus is Thinking Lab — an agentic AI platform that turns proprietary geospatial signals into decision-forward research and analysis.

My background is in geospatial data science, computer vision, and remote sensing. I hold a B.Sc. in Geomatics Engineering and an M.Sc. in Satellite Communication and Remote Sensing from Istanbul Technical University, where my thesis focused on Transformer- and CNN-based semantic segmentation for land use analysis. Across research and industry, I’ve shipped deep learning models for segmentation, crop classification, and large-scale geospatial analysis — with a particular interest in applying AI to climate and sustainability challenges.

• 🚀 Building: agentic AI & geo-foundation models @ globeholder.ai
• 🛰️ Working with: PyTorch, Transformers, AWS/Azure, Hugging Face, Google Earth Engine
• 📄 Research: deep learning for remote sensing & historical map analysis (311+ citations)

→ See my Experience and Publications, or reach out at cengiz@globeholder.ai.