A course project focusing on clean architecture, observable UI components, and testable logic.
- Implemented borrowing/return flows, search, and persistent storage.
- Optimized scene transitions and event handling.
Computer Science student at Drake University. I like clean design, reliable systems, and shipping projects. This portfolio highlights selected work, coursework, and experiments.
I’m a developer and student focused on practical, clear solutions. I enjoy full-stack work, data-driven features, and polished UX. On campus, I’ve led projects, created learning resources, and tinkered with AI/ML and systems assignments.
Currently exploring: model fine-tuning, search/retrieval, and production-quality front-ends.
A course project focusing on clean architecture, observable UI components, and testable logic.
Fine-tuned ResNet/VGG/AlexNet on a fine-grained dataset with augmentation and LR scheduling.
Implemented route-planning agents over OpenStreetMap-based grids using Python.
This website: responsive layout, accessible components, and SEO/Schema setup for strong identity.
Want to collaborate or say hello? I’d love to hear from you.
Email: aghanoormedia@gmail.com
Phone: +1 (515) 551-9040