I'm a First Class graduate in Software Development with a strong interest in building real-world applications, deep learning systems, and full-stack solutions. I enjoy turning complex ideas into working software and continuously pushing my technical skills further through hands-on projects.
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Final Year Project β Multi-Label Image Classification using Deep Learning
A research-driven deep learning system for satellite imagery, including custom CNN architectures, attention mechanisms, Grad-CAM visualizations, and a full Flask-based web interface. This is currently being extended for further functionality. -
Exploring machine learning applications in environmental and geospatial domains
Some of my featured repositories include:
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FYP-Multi-Label-Classification-using-Deep-Learning
End-to-end deep learning pipeline with training, evaluation, visualization, and deployment tools. -
GAPT-Weather-Forecasting-System
Collaborative full-stack weather forecasting application. -
Restaurant-Web-App
Full-stack PHP web application. -
Near-Miss-Exposure-and-Reporting-System (NEMESYS)
C# reporting and safety management system using ASP.NET. -
SmartTrack
React-based mobile application.
Iβm comfortable working with:
- Python & Machine Learning workflows (PyTorch & PyTorch Lightning)
- Deep Learning tools and data pipelines
- Web development (JavaScript, PHP, backend frameworks)
- Software architecture and full-stack applications
Iβm constantly learning and always excited to take on new challenges.
Feel free to explore my repos, drop a star on projects you find interesting, or reach out if you want to collaborate!
