Summary
Muiz Khan is a PhD candidate in Computer Science at Wayne State University and a Graduate Teaching Assistant with eight years of hands-on software engineering experience across web, mobile, and AI-driven projects. He has built and deployed deep learning models for medical imaging, managed AWS-based ML deployments, and integrated bioinformatics tools into commercial pathway-analysis software during internships at Advaita Bio. Early career roles in Bangladesh sharpened his full-stack skills—Django, Laravel, React, REST APIs—and produced pragmatic automation and RPA solutions for enterprise workflows. Comfortable switching between research and production, he combines academic rigor in bioinformatics and neural networks with practical experience shipping scalable systems. Notably, he has moved from building digital board-management and TB surveillance platforms to contributing ML-enabled healthcare tools, reflecting a rare blend of domain versatility and impact-driven engineering.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Computer Science, 3.32 (out of 4.00), Bachelor of Science - BS, Computer Science, 3.32 (out of 4.00) at North South University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Wayne State University
HSC, Science, 5.00, HSC, Science, 5.00 at Adamjee Cantonment College
SSC, Political Science and Government, 5.00, SSC, Political Science and Government, 5.00 at Adamjee Cantonment Public School
English, Bengali