Ashraf Hamid
Bachelor of Science · Computer Science and Engineering
Southeast University
Project
Built an end-to-end web application connecting a browser SDK, REST API, relational database, and dashboard for tracking software failures. Designed clear issue workflows for error grouping, regression detection, stack traces, and user-action breadcrumbs,
Project
Published a privacy-friendly extension that converts dynamic AI conversations into clean Markdown, JSON, or plain text. Developed the interface and export workflow around practical user needs, including clear format choices and reliable content handling.
Project
Co-developed and released an application for small shops to track stock, receive low-stock alerts, and calculate inventory value and profit. Contributed to bilingual user flows, local data persistence, and JSON backup and restore in a collaborative develo
Project
Developed and evaluated a supervised regularization method across 20 datasets, achieving a 65% win rate over standard dropout.