Blog
Long-form writing — deep dives, build notes, and the occasional opinion.
Explore the blog →I train models, design embedded systems, and wire up connected hardware — all on the same bench. From a real-time aerial threat detector to a Bangla-speaking emotion assistant, I work where machine learning meets a soldering iron.
MD Naimur Rashid
Machine learning, embedded systems, connected hardware — trained models, then working circuits.
I grew up taking things apart and writing tiny scripts to make the pieces talk to each other. Today the pieces are bigger — neural networks, drones, microcontrollers, cloud pipelines — but the instinct is the same: understand the problem deeply, then build the simplest thing that solves it.
My biggest focus right now is machine learning — computer vision, deep learning, and edge AI. But I'm equally comfortable with embedded systems and IoT solutions. The projects I love live partly in a training loop and partly in copper traces.
Currently, I'm an IoT & Robotics Engineering student at the University of Frontier Technology, Bangladesh, building things that solve real problems for real people.
Pulled directly from github.com/naimurhamim.
A loosely-curated list. Filter by domain or search by keyword.
Tools I reach for, sorted by how confident I am with them.
Every certificate links to its issuer's verification page.
Two places I keep them. Longer pieces live on the blog; quick lessons land in the TIL log. Pick a side and have a read.
Long-form writing — deep dives, build notes, and the occasional opinion.
Explore the blog →Short, dated notes — one small lesson, snippet, or gotcha at a time.
Browse the TIL →Eleven small experiments built in plain HTML, Canvas, and JavaScript. Mostly built for fun, kept for practice. Keyboard works on desktop, swipes work on mobile.
Email is the door I answer fastest. WhatsApp reaches me too.
Write — I'll reply.