Research-grade rigor.
Real-world impact.
ML Systems. Frontend Engineering. Research-Grade Rigor.
I'm a Machine Learning Engineer, Frontend Engineer, and Data Scientist from Bangladesh with a BSc in Computer Science & Engineering from RUET. My work sits at the intersection of statistical rigor and real-world ML deployment — I don't just train models, I validate their assumptions, correct for multiple comparisons, and stress-test results across randomized configurations.
On the frontend side, I design and engineer production-grade web portfolios and personal websites — the very portfolio you're looking at right now is a live example of that work. Clean architecture, smooth animations, responsive layouts, and conversion-focused design are as natural to me as writing a hypothesis test.
My research has produced an award-winning paper at APMEE 2025 on multi-dimensional statistical similarity for governance classification — moving beyond arbitrary thresholds toward principled statistical frameworks. Three additional first-author manuscripts are currently under peer review.
Beyond engineering, I run a CV, SOP & Portfolio consulting service that has helped students and professionals land positions at global institutions. I understand what selection committees and hiring managers look for — and I build profiles that speak directly to them.
I have also hosted live radio shows, published poetry, and competed in national recitation — because great communication is as important as great code.