Kunal Alladi

Experience

1. Software Engineer

   LTIMindtree

   Oct 2025 — Present

   In my role as a Software Engineer at LTIMindtree, I transitioned into building AI-driven and backend-intensive applications, with a strong focus on LLMs, intelligent agents, and scalable APIs.I gained hands-on experience with FastAPI for developing high-performance backend services and worked with MongoDB for designing and managing NoSQL data models. Alongside backend development, I developed a strong understanding of Large Language Models (LLMs), including their internal architecture, working principles, tokenization, attention mechanisms, and inference workflows.I worked extensively with LangChain to build LLM-powered applications, implementing Retrieval-Augmented Generation (RAG) pipelines using vector databases and external knowledge sources. I also explored LlamaIndex for efficient data ingestion, indexing, and querying to enhance LLM responses.Additionally, I designed and implemented multi-agent systems using CrewAI, where multiple specialized agents collaborated to solve complex tasks in real time. I built practical projects such as-> A multi-agent orchestration system using CrewAI-> A RAG-based intelligent agent using LangChain integrated with Google AI modelsThese projects strengthened my expertise in agent-based architectures, LLM orchestration, AI system design, and real-time application development, enabling me to bridge the gap between traditional backend systems and modern AI-powered solutions.

Education

• MVSR Engineering College

  Bachelor of Engineering - BE, Information Technology