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Mirza Waleed
@waleed_gis
Senior GeoAI Engineer, Google Developer Expert in Earth Engine, PhD
Pakistan
English, Urdu
About me
As one of ~45 Google Developer Experts (GDE) in Earth Engine globally and a PhD researcher (HKBU/KAUST), I architect planetary-scale GeoAI pipelines. I bridge the gap between scientific rigor and commercial cloud deployment. I don't just "make maps", I build audit-ready, automated risk systems for Parametric Insurance, Digital MRV (Carbon), and AgTech.
My stack: Python, GEE, HPC, PyTorch & GCP. Whether modeling flood susceptibility or estimating biomass, I deliver scalable code/system that powers financial decisions.
Let's turn your data into an asset.
Skills
Mirza Waleed
Offline •
Work experience
Lead GeoAI Engineer & Researcher | Hong Kong Baptist University
Hong Kong Baptist University • Full-time
Aug 2022 - Present • 4 yrs 2 mos
Architected planetary-scale environmental intelligence systems, bridging the gap between scientific research and production deployment. - Product Owner (GFSM): Led the engineering of the "Global Flood Susceptibility Map," processing multi-petabyte Sentinel/Landsat archives. - Cloud Architecture: Designed scalable Python/GEE pipelines for real-time high-resolution risk scoring. - Advanced ML: Implemented Deep Learning (CNNs, Unet) for object detection, land cover classification, and super resolution applications for hydrology.
HPC Geospatial Engineer (Supercomputing & Big Data) | King Abdullah University of Science and Technology (KAUST)
King Abdullah University of Science and Technology (KAUST) • Full-time
Aug 2024 - Feb 2025 • 6 mos
Leveraged High-Performance Computing (HPC) infrastructure to model planetary-scale climate risk, processing multi-petabyte datasets that exceed standard cloud capabilities. - Supercomputing: Deployed geospatial workloads on the "Shaheen" supercomputer (Cray XC40) for massive parallel processing of earth observation data. - Global Risk Modeling: Refined the "Global Flood Susceptibility Map" (GFSM) using model-data fusion techniques to improve accuracy in data-scarce regions. - Urban Climate Analytics: Quantified heat stress and livability metrics for "Giga-Project" scale developments.
