• 💼 Software Engineer 2 at HashedIn by Deloitte, Bengaluru (June 2024 – Present)
• 🚀 ~4 years of experience building scalable full-stack and AI-powered enterprise applications
• 🧠 Working on GenAI integrations using AWS Bedrock, RAG pipelines, and LangChain
• 🏟️ Built enterprise platforms for Olympics Games Management, Financial Services GenAI, and Retail POS
• 🌐 Portfolio: chaitu.info
• 📫 Reach me: chaithanyareddy786@gmail.com
• 💬 Ask me about React.js, Next.js, TypeScript, Node.js, PostgreSQL, AWS Bedrock, RAG

June 2024 – Present | Bengaluru

🏟️ Olympics Games Management Platform

• Built enterprise-scale frontend and backend modules using Next.js, TypeScript, Node.js, Express.js, PostgreSQL, Prisma
• Contributed to a shared/common code ecosystem used across multiple applications
• Developed a reusable UI library to improve component consistency and development efficiency
• Participated in sprint planning, deployments, production support, and release coordination

🤖 Olympics AI Chatbot Platform

• Led end-to-end development of an AI-powered chatbot from scratch with Next.js, Node.js, AWS Bedrock
• Integrated GenAI capabilities for intelligent response handling and workflow automation
• Designed scalable frontend and backend architecture for AI-driven conversational workflows

💰 Confidential Financial Services GenAI Platform

• Led development of an AI-powered agreement analysis platform for enterprise financial workflows
• Built serverless backend workflows using AWS Lambda for document processing
• Integrated AWS Bedrock + Amazon BDA for intelligent document extraction and section-based chunking
• Used Aurora PostgreSQL and AWS S3 for scalable data and document storage workflows

September 2022 – June 2024 | Noida

• Developed core modules for a large-scale retail POS platform: inventory, catalog, combo management, billing, and reporting
• Designed scalable and reusable UI components using React.js, Next.js, TypeScript
• Built backend APIs using Node.js and Express.js for business-critical workflows
• Collaborated with product and engineering teams to deliver scalable, production-ready features

Tech Stack: LangChain, LangGraph, Node.js

• Built a persona-based AI assistant with Retrieval-Augmented Generation (RAG) workflows
• Explored document retrieval, prompt orchestration, and conversational AI patterns
• Implemented retrieval pipelines and contextual response generation workflows

• ✅ Full Stack Web Development (MERN)
• ✅ Infosec JavaScript Security Specialization
• ✅ Cisco IT Essentials
• ✅ Python Basics

"Building scalable systems today that power the world tomorrow."