Notes on machine learning, embedded systems, and IoT — written twice, once in English, once in বাংলা.
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A formal introduction, and a drafting table beside the portfolio — ML, embedded, and IoT.
I am an ML & IoT engineer who trains models, designs embedded systems, and wires up connected hardware — all on the same bench.
From a real-time aerial threat detector to a Bangla-speaking emotion assistant, my work lives where machine learning meets a soldering iron.
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 am an IoT & Robotics Engineering student at the University of Frontier Technology, Bangladesh (UFTB), building things that solve real problems for real people.
Every post on this blog is written twice — once in English, once in বাংলা. Use the EN / বাংলা toggle in the top right to switch.