About Me
Researcher.
Engineer.
Builder.
I'm Assaduzzaman Munna — a final-year CSE student at North South University with a rare combination: peer-reviewed AI research published at IEEE and hands-on production engineering experience.
My work lives at the intersection of deep learning research and deployment reality. I don't just build models that score well on benchmarks — I build ones constrained by edge hardware, hospital imaging workflows, and factory-floor latency requirements.
I was competitively selected for Nippon AI Dojo 2025 by Chowa Giken and AI Samurai Japan — working directly under Japanese AI industry mentors on real-world AI engineering problems. Currently, I serve as an AI Engineer at The Data Island while also mentoring undergraduates as a Teaching Assistant in NSU's ECE Department.
Whether I'm designing cross-modal attention mechanisms, compressing a ConvNeXt teacher model by 18.5× without accuracy loss, or walking a junior through backpropagation at 10 PM — I bring the same standard: precise, principled, and impactful.
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IEEE Published
SATC 2026 Houston — Vision Transformers in medical imaging
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Industry Trained
AI engineering at The Data Island + Japan AI Dojo mentorship
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Top Academic
3.75/4.00 CGPA · Teaching Assistant, NSU ECE Dept.
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Edge-First Mindset
99.80% accuracy · 18.5× compression · 9-min T4 training
