Shantanu Gupta

AI and Data Engineer with 4+ years of experience building enterprise-grade Generative AI, RAG, search, and data platforms.

My work spans end-to-end AI engineering, including hybrid retrieval, embeddings, vector databases, LLM integration, document ingestion, backend APIs, observability, and production-focused system design. I have hands-on experience with technologies such as Python, Java, Spring Boot, FastAPI, PostgreSQL, Qdrant, React, Ollama, and transformer-based embedding models.

I currently work on AI and platform engineering, where I design and build intelligent knowledge systems capable of retrieving, reasoning over, and generating answers from complex enterprise data. My recent work includes building PAASH AI, an enterprise knowledge and incident intelligence platform using hybrid search, RAG, vector retrieval, confidence scoring, document ingestion, and local LLMs.

Previously, I spent three years at Deloitte USI, where I worked on data engineering and enterprise technology initiatives in large-scale environments.

I enjoy solving problems at the intersection of AI, backend engineering, and data systems, particularly around Generative AI, RAG, LLM applications, AI platforms, and intelligent search.

I am currently open to remote opportunities as an AI Engineer, Generative AI Engineer, LLM/RAG Engineer, Applied AI Engineer, AI Platform Engineer, or Data Engineer working on AI-driven products.