Priyanshu GangavatiDT
Turning scattered data into searchable intelligence for AI systems.
About
Hi, I'm Priyanshu Gangavati, a 2026 graduate from IIT Bombay and currently part of the team at Viven.ai, where we build AI-powered digital twins that can answer questions based on a person's knowledge, experiences, and data.
My work focuses on ingestion and retrieval systems—the foundation of modern AI applications. I build pipelines that connect platforms such as Google Drive, OneDrive, SharePoint, Microsoft Teams, calendars, and other enterprise tools, making their information available for intelligent retrieval during response generation.
In a world where organizations generate massive amounts of information every day, finding the right knowledge at the right time has become a major challenge. Retrieval-Augmented Generation (RAG) systems help bridge this gap by allowing AI models to access relevant, up-to-date information instead of relying only on what they were trained on. This makes AI systems more accurate, trustworthy, and useful in real-world applications.
Beyond my professional work, I'm always happy to help students with JEE preparation, study strategies, college life, and engineering career guidance. Having gone through the journey myself and earned admission to IIT Bombay, if you are a junior looking for guidance, feel free to ask my twin anything—I'd love to share my experience and help you cross the finish line!
Feel free to ask me about RAG systems, data ingestion, vector databases, enterprise AI, digital twins, LLM applications, software engineering, IIT Bombay, or JEE preparation.
