I build practical apps around real workflows: recipe planning, market tracking, management systems, donation coordination, and mobile experiences.

I like readable code, clear layers, fast feedback, and ML/product ideas that can be tested through usable interfaces.

Android recipe management app with Firebase cloud sync, offline Room DB, weekly meal planner, AI nutrition analysis via Groq API, on-device ML Kit translation, WorkManager shopping lists, and FCM push notifications. Built as a team project for Mobile Programming course.

React Native and TypeScript app for following crypto markets with Clean Architecture, Zustand, Axios, and CoinGecko API.

Wake-word style desktop audio recognition with live microphone detection, waveform UI, model training scripts, and privacy-conscious publishing without raw voice recordings.

YOLOv8 CT image object detection with grouped dataset splitting, ablation results, error analysis, and a local Tkinter demo app.

A C# management system focused on operational workflows, structured screens, and keeping everyday restaurant tasks organized.

ASP.NET food ordering web application with C# backend, HTML/CSS/JS frontend, order management and structured restaurant workflows.

Recipe planning, market tracking, and Android experiences with real backend flows.

Keeping data, state, UI, and model responsibilities separated and maintainable.

Turning detection, audio, and analysis experiments into usable interfaces.