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.
Drone-based real-time multi-threat detection system using YOLO & CNN on Raspberry Pi edge device.
GenomeIQ — Explainable AI for DNA disease classification.
Python-based voice-controlled assistant automating daily tasks using speech recognition...
An Edge based attendance application system where Nodemcu or ESP8266, RFID, Supabase, Flutter app works together combinely.
AI system to assist radiologists in detecting pneumonia from chest X-rays using Deep Learning and XAI.
Forecasting suicide trends via LSTM/ARIMA, clustering risks with K-Means, alongside a bilingual wellness companion.
Privacy-aware retail system combining biometric face recognition and behavioral recommendation engine.
A full-stack web-based license plate detection and recognition system built for traffic...
Autonomous robot detecting and extinguishing fires using flame sensors with mobile aler...
Multi-mode autonomous robot with voice, Android app, and cloud control using Bluetooth...
Precision Arduino-powered robot detecting and following marked paths using infrared sen...
A mobile robot designed to navigate through a maze using sensor feedback and decision-m...
An intelligent emotion detection system that analyzes the user's facial expression...
No roll call.
Assistive wearable using ultrasonic sensors and audio feedback to help visually impaire...
Real-time IoT solution tracking environmental and soil data with Firebase and ThingSpea...
Monitoring, alerting, and cost analysis in AWS using CloudWatch, CloudTrail, Cost Explorer, and Budgets.
Hands-on AWS project demonstrating a complete VPC-based architecture using EC2, RDS (My...
Static website hosting using AWS S3 with public access configuration, bucket policies,...
A Computer Graphics project developed using C++, OpenGL, and GLUT simulating a real-tim...
Smart University.
A fully interactive 3D solar system simulation built from scratch using Modern OpenGL,...
A 3D procedural horror maze set inside an ancient pyramid.
A complete wave-based FPS experience built from scratch in OpenGL.
A real-time 3D coastal scene with animated ocean, palm trees, seagulls, dynamic sky & j...
HTML/Canvas mini experiments: Snake, Pong, Brick, Flappy, Dino, TicTacToe, Asteroid, Pi...
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.