Nandini Kamepalli

AI/ML Engineer with 1+ year of experience designing and building distributed applications and scalable backend systems. Skilled in Python, FastAPI, REST API design, and microservices to deliver high-performance solutions. Experienced in integrating LLMs and orchestrating multi-agent workflows using LangChain and LangGraph for automation and context-aware responses. Proven ability to collaborate in agile teams to bring innovative products to production.

Associate Software Engineer - Zennial Pro Private Limited

(2025-04 - 2026-04)

• Architected agentic AI systems using LangGraph, LangChain, and Gemini API, enabling autonomous task execution and reducing manual intervention across multi-step workflows.
• Orchestrated multi-agent workflows with role-based agents and memory management, improving task accuracy through intelligent decision-making and automated execution.
• Engineered high-performance RAG pipelines on distributed systems using Python, FastAPI, MongoDB, and LangChain, improving retrieval quality and delivering context-aware responses at scale for AI-powered applications.
• Collaborated with cross-disciplinary teams to design and build innovative microservices and REST APIs, applying software development best practices in an agile environment.

B. Tech - CSE(AI&ML) - Chebrolu Engineering College (2020 - 2024)