Garv Chaplot

I am a Full-Stack Python Developer and Generative AI Engineer with hands-on production experience building RAG-based chat systems, multi-agent orchestration frameworks, and end-to-end web applications.

At Wonder Cement Ltd., I architected and deployed a multi-agent GenAI orchestration framework using Semantic Kernel and Azure OpenAI, and engineered a production-grade RAG pipeline integrated with Azure AI Search and SSO-based authentication that eliminated manual document searching and cut resolution time by 70%.

I designed and delivered a full-stack Django web application to replace an expensive third-party tool, scaling access from 2 users to 20+ across four teams, implemented optimization engines across the cement process to reduce production costs, and automated daily data ingestion via Azure ADLS2 to remove manual retrieval.

I prioritize secure, observable systems—using PostgreSQL with row-level security, Azure AD SSO, structured logging and monitoring—and enjoy translating complex business problems into scalable, measurable AI-driven solutions.