Naman Pratap Bhatia

At HCLTech, I analyzed application performance metrics to identify backup windows and recommend scheduling strategies that would minimize impact on live applications. I also researched enterprise AI workflows and Agentic AI architectures for a GenAI-based backup scheduling solution.

I documented the proposed solution’s system workflows and high-level architecture, translating them into a structured implementation plan.

At MUGGNOS, I analyzed daily sales reports and operational data to track KPIs, identify trends, and support business decisions. I also worked with customers to understand their needs and maintained inventory records to support operational planning.

I built ResearchPilot, a GenAI research assistant that uses RAG to answer questions from ingested documents. I designed its four-agent workflow and built a Next.js interface; I also designed PostgreSQL data models and an AI classification pipeline for NETRA, an update prioritization assistant.