
Aurbac developed a Data Analyst Assistant solution for the awslabs/amazon-bedrock-agentcore-samples repository, focusing on secure, scalable analytics workflows over four months. They integrated Amazon Bedrock AgentCore with a PostgreSQL video game sales dataset, deploying infrastructure using AWS CDK and implementing Cognito-based authentication for user access. Their work included building a React frontend for interactive data visualization and chart generation, enhancing conversation context management, and updating IAM permissions to strengthen security. Using Python, JavaScript, and AWS services, Aurbac delivered features that improved reliability, streamlined onboarding, and enabled region-consistent deployments, demonstrating depth in full stack development and cloud infrastructure engineering.
February 2026 monthly summary focused on delivering business-value features and stabilizing security controls for analytics work. Key efforts included deploying Amazon Bedrock AgentCore infrastructure via AWS CDK to support a video game sales data analyst assistant, enhancing data analysis capabilities and conversation context management. Also updated IAM permissions for front-end model calls to Bedrock to ensure secure access to Bedrock models for charting features, aligning with security and governance practices.
February 2026 monthly summary focused on delivering business-value features and stabilizing security controls for analytics work. Key efforts included deploying Amazon Bedrock AgentCore infrastructure via AWS CDK to support a video game sales data analyst assistant, enhancing data analysis capabilities and conversation context management. Also updated IAM permissions for front-end model calls to Bedrock to ensure secure access to Bedrock models for charting features, aligning with security and governance practices.
November 2025 monthly summary focused on delivering value through UI/UX improvements, security enhancements, and stability fixes in the Data Analyst Assistant built on Amazon Bedrock AgentCore. The work emphasizes business impact, reliability, and streamlined developer workflows for faster delivery and region-consistent deployments.
November 2025 monthly summary focused on delivering value through UI/UX improvements, security enhancements, and stability fixes in the Data Analyst Assistant built on Amazon Bedrock AgentCore. The work emphasizes business impact, reliability, and streamlined developer workflows for faster delivery and region-consistent deployments.
September 2025: Delivered Cognito-based user authentication for the awslabs/amazon-bedrock-agentcore-samples project, integrating Amplify on the front-end, configuring IAM roles, and updating the backend to support the new authentication flow and memory handling. This work, aligned with the Data Analyst Assistant solution using Amazon Bedrock AgentCore, establishes a secure, scalable foundation for user access and analytics workflows. Implemented memory management improvements, including memory creation in the same region and memory handling corrections, to improve performance and reliability. Result: improved security posture, streamlined onboarding, and a solid foundation for upcoming Bedrock AgentCore capabilities.
September 2025: Delivered Cognito-based user authentication for the awslabs/amazon-bedrock-agentcore-samples project, integrating Amplify on the front-end, configuring IAM roles, and updating the backend to support the new authentication flow and memory handling. This work, aligned with the Data Analyst Assistant solution using Amazon Bedrock AgentCore, establishes a secure, scalable foundation for user access and analytics workflows. Implemented memory management improvements, including memory creation in the same region and memory handling corrections, to improve performance and reliability. Result: improved security posture, streamlined onboarding, and a solid foundation for upcoming Bedrock AgentCore capabilities.
July 2025 monthly summary: Delivered end-to-end Data Analyst Assistant Solution leveraging Amazon Bedrock AgentCore with NLQ-to-PostgreSQL access on a video game sales dataset. Implemented backend deployment via AWS CDK, established agent infrastructure with Strands Agents SDK, and shipped a React frontend for interactive data exploration, visualization, and chart generation. Updated documentation and Docker dependencies to streamline setup and deployment. Applied use-case/content fixes to stabilize the release and improve maintainability.
July 2025 monthly summary: Delivered end-to-end Data Analyst Assistant Solution leveraging Amazon Bedrock AgentCore with NLQ-to-PostgreSQL access on a video game sales dataset. Implemented backend deployment via AWS CDK, established agent infrastructure with Strands Agents SDK, and shipped a React frontend for interactive data exploration, visualization, and chart generation. Updated documentation and Docker dependencies to streamline setup and deployment. Applied use-case/content fixes to stabilize the release and improve maintainability.

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