Engineer in EEE | Web Dev, ML, Computer Vision & Data Analysis
Specializing in building and deploying efficient, user-centric AI solutions from cloud to edge.
With an academic foundation in Electrical & Electronic Engineering from CUET and a Master’s degree from BUET, I am passionate about harnessing the potential of computer vision and AI for social impact. My journey began during my undergraduate studies, where I developed an embedded health‑monitoring system aimed at improving healthcare accessibility in underserved regions.
My graduate research at BUET focused on advancing lightweight models for human activity detection. I successfully developed a streamlined variant of the YOLOv5 model, optimized for detecting smaller objects with higher frames per second (FPS) and achieving impressive accuracy and performance on resource-constrained devices.
My vision is to create tools that empower individuals and improve lives. I am focused on building impactful solutions that drive positive change and contribute to meaningful societal progress.
YOLOv5 Nano-Lite (Optimized)
YOLOv5 Nano (Baseline)
Education
M.Sc. in Electrical & Electronic Engineering
Bangladesh University of Engineering and Technology (BUET)
B.Sc. in Electrical & Electronic Engineering
Chittagong University of Engineering and Technology (CUET)