Lira is an AI-powered knowledge

Lira is an AI-powered knowledge assistance platform that helps users find reliable answers from internal documents using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).

As a Full-Stack Developer at NLL Academy, I contributed to building and integrating features across the platform, combining modern frontend experiences with backend APIs and AI-powered workflows.

Key contributions:

- Developed responsive user interfaces using React.js, TypeScript, and Tailwind CSS.

- Integrated frontend components with backend APIs built using Python and FastAPI.

- Contributed to document-based question-answering workflows powered by LLMs and RAG.

- Worked on guided learning experiences, learning paths, and conversational interactions.

- Contributed to analytics dashboards and data visualizations for monitoring platform usage.

- Collaborated on debugging, feature integration, and improving overall application usability.

Tech stack: React.js, TypeScript, Tailwind CSS, Python, FastAPI, REST APIs, LLMs, RAG, and SQL.

The project gave me practical experience building AI-enabled software that combines document retrieval, conversational interfaces, and full-stack application development.