Ramandeep Singh

Senior Software Engineer – Generative AI at Capgemini (2025-07 – Present)

Developed and enhanced Generative AI applications using Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and vector databases.
Built a RAG-based insurance policy chatbot that processes policy documents, generates embeddings, retrieves relevant document chunks from Pinecone, and provides context-aware responses using Google Gemini.
Implemented the RAG pipeline covering document ingestion, text chunking, embedding generation, semantic retrieval, prompt construction, and LLM response generation.
Integrated OpenAI text-embedding models for semantic representation and Pinecone for efficient vector similarity search and retrieval.
Developed Python backend services for document processing, query embedding, retrieval orchestration, and communication with LLM APIs.
Worked on a multimodal RAG proof of concept to extend document understanding beyond text by processing PDF content containing both textual and visual information.
Developed and tested AI application components using Python, REST APIs, Flask, React.js, vector databases, and LLM services.
Collaborated with team members to understand functional requirements, troubleshoot integration issues, test AI workflows, and improve application reliability.

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