Summary
Hassan Askary is a Data Scientist and Machine Learning Engineer with 8 years of experience designing and shipping computer vision and identity-verification systems. Currently at Mobai in Oslo, he led development and production deployment of the company’s first deepfake detection model and owns end-to-end automated KYC/AML document analysis pipelines that combine CV, NLP and biometric standards compliance. His background spans industrial machine vision research—super-resolution and depth-of-field recovery for barcode and ID cameras—through practical ML engineering with Docker, Kubernetes, TorchServe and GCP for real-time services. Hassan pairs strong academic training in computational colour, spectral imaging and photonics with hands-on experimentation (optical MTF evaluation, custom dataset capture rigs), enabling solutions that bridge optics and deep learning. Notably, he focuses on anticipatory research to stay ahead of evolving synthetic-media threats while delivering production-grade, standards-aligned biometric systems.
8 years of coding experience
2 years of employment as a software developer
Master of Science, Photonics, Imaging and Computer Vision, Master of Science, Photonics, Imaging and Computer Vision at Universidad de Granada
Bachelor of Science, Computer and Information Sciences, Bachelor of Science, Computer and Information Sciences at Pakistan Institute of Engineering & Applied Sciences (PIEAS)
Norwegian University of Science and Technology
English, Urdu, Norwegian