AI-Powered Mobile Application
• Developed a production mobile application using Flutter with a Python-based AI backend for real-time
intelligent assistance.
• Designed and integrated Large Language Model (LLM) pipelines for multilingual text understanding,
translation, and contextual responses.
• Built and curated custom datasets and performed model fine-tuning and training workflows to improve
language accuracy and contextual reasoning.
• Implemented backend AI services in Python for prompt processing, model inference, and API orchestration.
• Integrated the system into a scalable architecture connecting Flutter frontend with AI inference services.
• Published the application on Google Play with real user deployment.
