About
I'm a Computer Science student at Wayne State University, expected to graduate in August 2026. My recent work spans a secure mortgage workflow platform, an Android image-classification app for fig leaf health, and low-level operating systems projects in C.
I like projects where the implementation has to respect real constraints: authorization, workflow rules, data consistency, tests, offline use, process control, and clear documentation. I'm looking for software engineering internship and new-grad opportunities where I can keep building practical, well-tested systems.
Practical systems I have built
Full-stack workflow software, mobile machine learning, and operating systems projects with source or resume-backed evidence.
A full-stack mortgage workflow simulation for synthetic loan applications. I built guarded workflow rules, role-based authorization, audit/history records, row-version concurrency, and a deterministic assignment engine across an ASP.NET Core API, SQL Server persistence layer, and React review interface.
FigScan
An Android app that classifies fig leaf images as healthy or unhealthy using an on-device TensorFlow Lite workflow. I built the Flutter/Firebase app features for authentication, admin approval, image capture/upload, scan results, and classification history, and trained an optimized transfer-learning model that reached 92% test accuracy.
A UNIX-style shell in C that parses user commands, creates child processes, and supports foreground and background execution. The second version builds on the initial shell with command history, re-execution shortcuts, and SIGINT handling through sigaction().
