• Implemented data preprocessing pipeline achieving 95% data quality score by utilizing Pandas and Python for handling missing values, outliers, and feature engineering, resulting in improved model performance.• Developed and fine-tuned LLM models using RAG architecture, achieving 85% accuracy in sentiment analysis and recommendation generation for restaurant reviews analysis.• Engineered an intelligent chatbot system with context retention using LangChain and LangGraph, processing over 10,000 customer reviews to extract actionable insights for restaurant improvements.• Created custom embeddings and vector stores for efficient information retrieval, reducing query response time by 40% while maintaining 92% accuracy in semantic search results.

• Assisted students with React.js development, providing guidance on coding practices, troubleshooting issues, and enhancing their understanding of web development concepts.• Supported professors in managing Web Development projects, including organizing class materials, grading assignments, and contributing to project planning and execution.

Developed a “Building Layout” Website• Created an interactive user interface using React.js to showcase detailed building layouts, including floor plans, interior, and exterior views.• Implemented a FastAPI system to efficiently manage and serve data, ensuring smooth user interactions.• Collaborated with a team to refine features and achieve a successful product launch.

• Engineered an e-commerce platform with a FastAPI backend and ReactJS frontend, optimizing user experience. Improved system performance and operational efficiency through a robust technology stack.• Designed and deployed RESTful APIs for product management and user authentication. Implemented secure interfaces, ensuring efficient and protected system interactions.