Projects showcase, focusing on modern architecture, clean code, practical use of AI in mobile applications and CI/CD practices.
Android application that records speech, processes it using Firebase AI Logic (Gemini), and transforms spoken input into structured, actionable instructions. Demonstrates serverless workflows, voice-to-action pipelines, and clean Android architecture.
Exploration of on-device machine learning using LiteRT, including image classification, image captioning, and local LLM inference. Focuses on performance, model integration, and efficient mobile inference pipelines.
A modern Android application showcasing clean UI design, smooth user interactions, and modular architecture. Emphasizes best practices for scalability, maintainability, and a polished end-user experience.
Android project demonstrating application architecture patterns, structured data handling, and separation of concerns. Designed as a reference for building scalable, testable Android applications.
Example Android project created for CI/CD setup practice. Demonstrates automated pipelines, testing strategies, and delivery workflows while keeping the app logic simple and focused.