Narasimha Nanduri

About Narasimha Nanduri

Cloud & Data Engineer with 3+ years of experience at Accenture, building secure, scalable, and AI-powered web applications and cloud-native systems. I specialize in integrating Generative AI (GenAI), RAG, and AWS Bedrock into enterprise-grade solutions that combine rich user experiences with intelligent automation.I’ve designed and delivered:A fully GenAI-based conversational bot using Amazon Bedrock Agents, custom Knowledge Bases, and advanced LLMs like Claude V2, Haiku, Sonnet, and GPT-4 — seamlessly integrated with Amazon Lex using predefined intents.A serverless contact center in Amazon Connect for healthcare, leveraging Lex + Bedrock for appointment booking with natural language, real-time backend logic using Lambda, and user notifications via Pinpoint.A multi-cloud control platform unifying AWS services like S3, EC2, IAM into a web UI using React, backend by REST APIs and cloud-native architecture.My passion lies in transforming structured and unstructured data into real-time, contextual GenAI insights using RAG and Bedrock Agents.Whether it’s building reusable frontend components, designing secure APIs, or orchestrating LLM agents, I bring a full-stack mindset and deep focus on performance, security, and scale.AWS Certified | GenAI Practitioner | Bedrock, Amazon Connect & Lex Specialist | Cybersecurity Aware | Product-Focused BuilderLet’s connect if you\'re building in AI, cloud, or creating next-gen customer experiences powered by intelligent systems.

Experience

1. Data Engineering Mangement & Governance Analyst

   Accenture

   Aug 2024 — Present · Hyderabad, IN

   GenAI-Powered Contact Center Using AWSOverview:Designed and deployed a Bedrock Agent with custom instructions and configurations to handle diverse customer intents and tasks.Built a Knowledge Base on top of Bedrock and integrated it with the Agent using retrieval-augmented generation (RAG) workflows.Connected the Bedrock Agent to Amazon Lex using predefined intents and Lambda functions to create a voice-enabled GenAI assistant.Enabled multi-model orchestration using Claude V2, GPT-4, Haiku, and Sonnet based on task complexity and latency needs.Applied prompt engineering best practices to tune responses based on context, user profile, and domain-specific datasets.Focused on latency, performance, and scalability using serverless architecture (Lambda, DynamoDB, API Gateway).Key Skills: AWS Bedrock Agents, Knowledge Base, RAG, Claude V2, GPT-4, Haiku, Sonnet, Amazon Lex, Lambda, Prompt Engineering, Serverless Architecture

Education

• Vishwa Bharathi College of Education

  Diploma

• Malla Reddy College of Engineering & Technology

  Bachelor of Technology - BTech