Nabarup Ghosh

Collaborating on multiple agentic AI projects with TCG Digital & DPIIC, contributing to the Bot Assisted MCUube Framework (BAMF). Worked with GSI and DPIIC to identify orogenic gold in Ramagiri Penakacherla, supporting a pan-India proof-of-concept. Contributed to chunking strategy R&D (tree indexing, semantic chunking) for advanced RAG within the BAMF framework in MCUube deployments.

Built a RAG SaaS platform to democratize custom AI assistant creation for businesses. Architected a SaaS RAG platform with Next.js, delivering accurate responses via vector orchestration and advanced retrieval. Published an npm SDK to abstract retrieval complexity, enabling rapid assistant integration with zero infrastructure. Engineered a multi-format ingestion pipeline to transform enterprise knowledge into interactive intelligence for automation.

Collaborated on multi-agent AI projects and bot-assisted frameworks, contributing to an MCUbE framework together with DPIIC and TCG Digital. Worked on identifying orogenic gold signals in the Ramagiri–Penakacherla pan-India proof of concept. Built parts of an advanced RAG research workflow (tree indexing, semantic chunking) to enhance retrieval-augmented generation within the MCUbE framework.