1. Developed a Q&A chatbot using LangChain, incorporating advanced features like history and memory management. - Implemented RAG to optimize chatbot performance. Leveraged DAAS for information retrieval and FAISS for efficient vector embeddings.2. Developed an AI-powered eCTD generator, streamlining regulatory submissions. - Designed and implemented an end-to-end RAG pipeline for processing large and complex biological documents. - Utilized MongoDB for efficient data storage and retrieval.- Integrated semantic search capabilities with LLMs to enhance the retrieval accuracy and relevancy.

• Practical Data Science Skills: Applied Numpy, Pandas, and Scipy effectively as a Data Science Intern at Corizo.• Database Management: Proficiently organized relational databases with MySQL for streamlined data handling.• Machine Learning Expertise: Acquired advanced machine learning skills using sci-kit-learn and TensorFlow through real-world projects.• Data Visualization Mastery: Created impactful data visualizations and automated dashboards using Matplotlib and Power BI for data-driven insights.