I design and maintain robust data delivery environments that convert raw geospatial and remote sensing inputs into operational intelligence. From scalable SAR raster pipelines to collaborative dashboards and feature‑rich fusion outputs.
At ICEYE, I contributed to the development of geospatial disaster response solutions by leveraging SAR-based analytics, raster processing, and change detection techniques. My work spanned the Hurricane Rapid Impact and Wildfire Insights products, where I generated scalable raster workflows and hexgrid analytics for building-level damage assessment and exposure mapping across affected regions.
ICEYE’s Hurricane Rapid Impact product provides near-real-time geospatial insights following hurricane landfall, with a focus on populated coastal areas across the USA and inhabited territories. My contributions focused on developing and deploying SAR-based raster analytics and hexgrid-level change detection to support rapid disaster response.
The foundational pillars shaping my geospatial and data-driven problem-solving approach
My work in SAR focuses on advancing techniques like polarimetric decomposition, calibration, and 3D tomographic imaging to better characterize land and forest structure. Leveraging datasets from platforms such as UAVSAR and TerraSAR-X, I’ve investigated frequency-dependent scattering, refined PolSAR calibration workflows, and developed vertical profiling methods using PolSAR tomography. These efforts support applications in ecosystem monitoring, geophysical modeling, and the interpretation of complex surface features.
My work with InSAR focuses on detecting and analyzing ground displacement using radar remote sensing techniques such as DInSAR and PSInSAR. I’ve developed and implemented workflows for processing satellite SAR data, enabling accurate monitoring of subsidence, tectonic motion, and anthropogenic changes. These efforts have supported environmental and geophysical studies across varied terrains using Sentinel-1 and TerraSAR-X datasets.