Projects
A selection of Android work spanning AI, on-device ML, architecture, UI, and CI/CD.
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Speak2Act
Android app that records speech, processes it with Firebase AI Logic (Gemini), and turns spoken input into structured, actionable instructions. Demonstrates serverless workflows, voice-to-action pipelines, and clean Android architecture.
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Cats vs Dogs
Exploration of on-device machine learning with LiteRT — image classification, image captioning, and local LLM inference. Focuses on performance, model integration, and efficient mobile inference pipelines.
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Tasty
A modern Android app showcasing clean UI design, smooth interactions, and modular architecture. Emphasizes best practices for scalability, maintainability, and a polished end-user experience.
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Premier League
Android project demonstrating application architecture patterns, structured data handling, and separation of concerns. Designed as a reference for building scalable, testable Android apps.
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Chuck Norris Jokes
Example Android project built for CI/CD practice. Demonstrates automated pipelines, testing strategies, and delivery workflows while keeping the app logic simple and focused.
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