Rahul Ratna Das

Generative AI and Data Science professional experienced in designing and deploying production-grade LLM, Agentic AI, NLP, and multimodal AI systems within enterprise environments. Delivered five production-grade multi-agent applications across Finance and Supply Chain domains, achieving >95% accuracy while reducing LLM token costs by over 80% through semantic caching and optimization strategies. Strong expertise in Retrieval-Augmented Generation (RAG), orchestration frameworks, scalable AI architecture, and secure cloud-based deployment.

AI & Data Analyst at Deloitte (2023-09 – Present)

Architected and deployed production-grade multi-agent applications supporting Finance and Supply Chain workflows with >95% accuracy.

• Architected and deployed five production-grade multi-agent applications supporting Finance and Supply Chain workflows.
• Achieved >95% accuracy on complex analytical tasks.
• Reduced query turnaround time by 2–4x and lowered token consumption by over 80% using semantic caching and HNSW indexing.
• Developed 10+ specialized agents with intelligent orchestration and inter-agent context transfer.
• Implemented RAG pipelines integrating structured and unstructured enterprise datasets.
• Built NLP-driven solutions for knowledge retrieval, summarization, and analytical reasoning.
• Engineered containerized microservices with dedicated FastAPI endpoints and automated CI/CD pipelines.
• Implemented guardrails, DLP configurations, IAM controls, and prompt injection prevention to ensure secure AI deployment.

Bachelor of Technology (B.Tech) in Computer Science and Engineering – Vellore Institute of Technology (2019-07 – 2023-07)