Narasimha Chekuri

Generative AI & Cloud Engineer with 4.6 years of experience at Infosys, building LLM-powered applications using Python and AWS serverless technologies. Experienced in developing enterprise GenAI solutions such as NLP-to-SQL systems and Retrieval Augmented Generation (RAG) pipelines using AWS Bedrock and Anthropic Claude. Strong background in cloud-native architecture, delivering scalable, production-ready AI solutions using AWS services, Snowflake, and CI/CD pipelines.

Gen AI Engineer at Infosys (2023-12 – Present)

Client: Woodside Energy

• Designed and deployed LLM-powered AI automation solutions using AWS Lambda, API Gateway, Step Functions, S3, DynamoDB, and AWS Bedrock.
• Developed Python-based backend services integrating Anthropic Claude models for natural-language understanding and intelligent workflow automation.
• Implemented Retrieval-Augmented Generation (RAG) pipelines to enable contextual document retrieval.
• Designed prompt engineering strategies (zero-shot, one-shot, few-shot) to improve LLM response accuracy and reliability.
• Led multiple GenAI proof-of-concepts demonstrating AI-driven process automation across the Oil & Energy domain.

Cloud Engineer at Infosys (2021-12 – 2023-11)

Client: Expedia

• Troubleshooting deployment issues, application traffic requests, network, and latency problems, ensuring minimal downtime and high availability, resolving 90% of incidents within SLA.
• Automated cloud operations using Python-based Lambda functions, reducing manual effort by 20%.
• Managed IAM roles and policies, ensuring secure access and permissions for various resources within the AWS environment.
• Developed AI-assisted ChatGPT (Rovo) to analyze internal documentation for deployment issues and pod troubleshooting steps and generate step-by-step troubleshooting and remediation guidance.

BTech in Electronics & Communication Engineering – RGMCET