Abdul Muqeet is a machine learning engineer and co-founder based in Seoul with a decade of experience delivering production-grade AI systems that prioritize real-world impact. He has led research-level model innovation—publishing influential lightweight super-resolution architectures and winning ECCV challenge honors—while translating those advances into high-performance production pipelines for OCR, video synthesis, and real-time interactive AI. At VIVESTUDIOS he shipped diffusion-based generative tools and integrated LLMs with Unity/Unreal for live speech systems; at SAENOON he optimized C++ vision modules to <50ms inference on embedded devices for public-safety use cases. Now leading Mongeo, he blends academic rigor (MS CSE, Kyung Hee) with product-first engineering, consistently improving accuracy, latency, and automation across media and embedded applications. A detail that sets him apart is his track record of achieving state-of-the-art results with dramatically smaller models—often cutting parameter counts by ~80%—making advanced AI feasible on constrained hardware.
10 years of coding experience
7 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Kyung Hee University
The repository corresponds to my personal webpage.
Contributions:67 pushes in 2 years 3 months
javascriptpersonal-webpagewebpage
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.