Adeel Hassan is a Senior Machine Learning Engineer with a decade of experience building production ML systems, currently focused on geospatial applications at Element 84 in Philadelphia. He combines hands-on research and engineering—implementing cutting-edge models in PyTorch, prototyping vision-language search for Earth imagery, and deploying real-time object detection on edge devices—with cloud-native deployments on AWS. His background includes original transfer-learning research that adapted RGB-pretrained CNNs to multi-band satellite imagery and significant contributions as the lead maintainer of the Raster Vision open-source library. Comfortable spanning the full project lifecycle from scoping and business development to deployment and reporting, he also has a track record of delivering domain-specific solutions in remote sensing, medical imagery, and search-and-rescue. An interesting, less obvious strength is his ability to turn research ideas into practical, repeatable toolchains and workshops that accelerate team capabilities and community adoption.
11 years of coding experience
4 years of employment as a software developer
Bachelor's Degree, Computer Science, CGPA: 3.69, Bachelor's Degree, Computer Science, CGPA: 3.69 at Institute of Business Administration
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Massachusetts Amherst
O'Levels, O'Levels at Beacon Light Academy
A'Levels, Science, A'Levels, Science at Beaconhouse School System
An open source framework for deep learning on satellite and aerial imagery.
Contributions:29 PRs, 1064 pushes, 591 branches in 5 years 4 months
deep-learning
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