Rahul Ratna Das
Agentic AI Engineer | Generative AI Engineer | AI Architect
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About
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.
Experience
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.
Education
Bachelor of Technology (B.Tech) in Computer Science and Engineering – Vellore Institute of Technology (2019-07 – 2023-07)
