Darshan Badgujar

Developed three AI products including ASK AI chatbot, AI Call Bot, and RAG-based knowledge system using LLMs, prompt engineering, conversational AI flows, and custom knowledge bases. Built document-based question answering workflows by integrating embeddings, vector database concepts, semantic search, and LLM responses to retrieve accurate information from custom files and data sources. Designed, tested, and optimized prompts, user intent flows, response quality, and AI workflows to improve accuracy, relevance, automation, and real-world user experience.

AI Engineer at GradRight (2025-06 – Present)

• Developed three AI products including ASK AI chatbot, AI Call Bot, and RAG-based knowledge system using LLMs, prompt engineering, conversational AI flows, and custom knowledge bases.
• Built document-based question answering workflows by integrating embeddings, vector database concepts, semantic search, and LLM responses to retrieve accurate information from custom files and data sources.
• Designed, tested, and optimized prompts, user intent flows, response quality, and AI workflows to improve accuracy, relevance, automation, and real-world user experience.

AI Prompt Engineer(Project Based Role) at NVIDIA (2024-09 – 2025-03)

• Designed, tested, and optimized prompts across multiple LLM platforms for Q&A, summarization, chatbot workflows, content generation, and task-specific AI use cases.
• Evaluated AI-generated responses to identify accuracy issues, relevance gaps, hallucinations, tone mismatch, and consistency problems across different prompt versions.
• Improved prompt quality through iterative testing, response comparison, and LLM output refinement to achieve accurate, clear, and context-aware outputs for real-world AI applications.

B.Tech in Electronics and Communication Engineering – LNM IIT (2020 – 2024)