Amin Ullah is a Senior AI/ML Engineer with a decade of experience translating academic research into production-ready solutions, currently applying his expertise at Boeing in Seattle. He holds a PhD in Digital Contents with a strong focus on computer vision and has published and led postdoctoral work at Oregon State University on open-world object detection, novelty detection, and uncertainty-aware underwater object analysis. His background spans real-time, resource-efficient deep learning—from baby-behavior monitoring on Raspberry Pi to lightweight models for person re-identification and one-shot anomaly recognition—demonstrating a knack for practical, deployable systems. Known for combining deep generative modeling with efficient neural network sampling, he brings research rigor to industrial problems while maintaining hands-on implementation skills.
9 years of coding experience
5 years of employment as a software developer
Bachelor's of Science, Computer Science (Image processing specialization), GPA: 3.92/4.0 (Ranked 1st in class), Bachelor's of Science, Computer Science (Image processing specialization), GPA: 3.92/4.0 (Ranked 1st in class) at Islamia College Peshawar (Chartered University)
Doctor of Philosophy - PhD, Digital Contents (ML and Computer Vision), Doctor of Philosophy - PhD, Digital Contents (ML and Computer Vision) at Sejong University
Contributions:9 commits, 8 pushes, 1 branch in 1 year
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