Shahabuddin Ahmed Khan

Brewing logic with a shot of espresso

I’m a Computer Science and Engineering graduate from BRAC University with a solid foundation in both frontend and backend development. I’m passionate about building smooth, responsive web applications and exploring innovative technologies. As an AI/ML enthusiast, I’m constantly learning and experimenting with intelligent systems, and I’m eager to collaborate on projects that push the boundaries of what tech can do.

Driven By Curiosity, Guided By Best Practices

Sometimes flooded by errors but

Always learning. Always delivering.
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PROJECTS

Axtra Landing Page

Axtra Landing Page

A modern, fully responsive landing page built with React, GSAP animations, ShadCN, DaisyUI, Tailwind CSS, and HTML. Optimized for four breakpoints to ensure a seamless experience across all devices..

Zeus Equipment Store

Zeus Equipment Store

An equipment store web app with integrated user authentication using Firebase. Built with React, Tailwind CSS, HTML, and MongoDB for seamless front-end and back-end functionality.

RESEARCH

Neurodegenerative Disease Detection Deep Learning Model

Neurodegenerative Disease Detection Deep Learning Model

Our SadNetV1, a hybrid deep learning model combining MobileNetV2 with custom layers and Spatial Attention, achieving 97% accuracy on emotion recognition. Leveraged data augmentation and Grad-CAM for model explainability—using tools such as PyTorch, TorchVision, OpenCV, Scikit-learn, Matplotlib, and Seaborn throughout the workflow.