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waleed_gis

Mirza Waleed

@waleed_gis
5,0(34)

Senior GeoAI Engineer, Google Developer Expert in Earth Engine, PhD

Pakistan
Anglais, Ourdou
Certaines informations sont présentées en anglais.
À propos de moi
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.... Plus d’infos

Compétences

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waleed_gis
Mirza Waleed
hors ligne • 

Voir mes services

Aide / Consultation
I will build scalable geoai and earth engine pipelines for analysis
5,0(33)
Graphisme et design
I will model flood risk, carbon mrv, and crop yield using geoai
5,0(1)

Expérience professionnelle

Lead GeoAI Engineer & Researcher | Hong Kong Baptist University

Hong Kong Baptist University • Temps plein

Aug 2022 - Present3 yrs 9 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) • Temps plein

Aug 2024 - Feb 20256 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.

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