Mariselvam Dheivasigamani

Develop backend services for an AI Assistant application using Strands SDK, integrating AgentCore Runtime and Gateway services to enable robust agent orchestration. Implement short-term memory for the orchestrator agent using AgentCore Memory. Design and implement RESTful APIs using AWS serverless technologies including Lambda, Step Functions, and DynamoDB. Build CloudWatch dashboards and configure alarms to enhance observability. Boost development efficiency with AI-powered tools such as Cursor IDE and GitHub Copilot.

Conducting in-depth research and analysis to produce high-level and low-level design documentation for system components. Developing backend services for an AI Assistant application using Strands SDK, integrating AgentCore Runtime and Gateway services to enable robust agent orchestration. Implementing short-term memory capabilities for the orchestrator agent using AgentCore Memory, enhancing contextual awareness and responsiveness. Designing and implementing RESTful APIs using AWS serverless technologies including Lambda, Step Functions, and DynamoDB. Building CloudWatch dashboards and configuring alarms to enhance system observability and operational insights. Boosting development efficiency by utilizing AI-powered tools such as Cursor IDE and GitHub Copilot.

Architected web applications & RESTful services for handling 30k requests per minute. Developed distributed load testing framework using JMeter cluster setup, saving ~$15k annually. Utilized React, HTML, and CSS to create engaging front-end interfaces. Scaled REST services by fine-tuning thread pools, memory usage, and number of instances. Collaborated with DevOps to integrate Puppet scripts & Terraform pipelines for infrastructure automation. Employed blue/green deployment model on Azure cloud platform.