Jul 2025 – Present · 10 mos · Jaipur, Rajasthan, India · Hybrid

• Built GenAI and Agentic AI solutions using LangChain to automate enterprise workflows.
• Designed and implemented RAG pipelines for RFP document understanding, semantic search, question answering, knowledge retrieval, and intelligent module recommendation.
• Used Hugging Face embedding models with Chroma vector database for efficient similarity search and context retrieval.
• Integrated LLMs with REST APIs, databases, and internal tools to support AP Suite module recommendation and AI-driven proposal generation.
• Developed multi-step agent workflows with tool calling, context handling, and basic memory management.
• Improved response accuracy and reliability through prompt engineering, chunking strategies, and retrieval optimization.

Feb 2025 – Present · 1 yr 3 mos · Jaipur, Rajasthan, India · Hybrid

• I’m a Java Full Stack Developer at Genpact, focused on building systems that automate complex enterprise workflows and reduce manual effort. My work involves developing solutions that analyze large volumes of documents and structured data to support smarter decision-making.
• I have hands-on experience building a proposal automation system that processes multiple Excel and data sheets, validates and extracts key information, identifies critical KPIs, and automatically populates predefined PPT templates with both static and dynamic content. This significantly reduces time spent on manual data reading, extraction, and repetitive tasks, while improving consistency and accuracy.
• Alongside this, I work on document understanding and recommendation systems that help map business requirements to relevant modules and outputs. With a strong foundation in Java, Spring Boot, REST APIs, and modern front-end technologies, I build scalable, reliable, and user-friendly applications designed for real-world enterprise use.