Backend development for Amazon Q Developer and Kiro, a generative AI coding assistant, using Java in a scalable microservices (EKS) architecture. Implemented event-driven capabilities with SNS and SQS for distributed subscription management, with metering and reconciliation via Step Functions and email notifications via SES. Built secure user profile management workflows using Lambda and DynamoDB, integrating with IAM Identity Center for identity synchronization. Automated infrastructure provisioning using AWS CDK (TypeScript) and implemented canary tests for safe rollouts. Led region expansion to 9 new AWS regions with zero downtime. Developed internal Rust tools to batch process categorized user tickets, reducing on-call verifications.

Software Development Engineer at Amazon

June 1, 2025 - November 9, 2025

Contributed to a large-scale LLM benchmarking platform evaluating model, application, and device performance across accuracy and latency, enabling configurable experiments with built-in and user-provided datasets. Built the frontend in TypeScript/React within a micro-frontend architecture, using Zustand for lightweight state management to improve performance and modularity. Replaced legacy token management with AWS Cognito and Amplify, integrating with enterprise SSO to reduce auth-related edge cases by 90%. Integrated AWS AppConfig for feature flags to enable controlled rollouts and safe experimentation. Designed AI grading service with AWS Lambda (Python) and AWS Bedrock, extracting scoring metrics and performing semantic assessment, storing artifacts in S3. Orchestrated workflows with Step Functions to ensure the grading task distribution sequence. Implemented real-time auditing and batch processing of AI evaluation jobs with SNS-triggered Lambda and DynamoDB. Achieved full testing

Software Development Engineer at Amazon Web Services (AWS)

June 1, 2025 - October 26, 2025

Contributed to the backend development of Amazon Q Developer and Kiro, a generative AI coding assistant, using Java within a scalable microservices (EKS) architecture. Implemented an event-driven architecture using AWS SNS integrated SQS for a distributed subscription management system, providing support metering and reconciliation via Step Function, and email notifications via AWS SES. Engineered secure user profile management workflows, Lambda, and DynamoDB, integrating with AWS IAM Identity Center for seamless identity synchronization. Automated infrastructure provisioning using AWS CDK (TypeScript) to manage cloud resources, ensuring consistent and reliable deployments. Configured integration tests and canary test deployments to ensure system reliability, catch regressions early, and enable safe rollouts in production. Led region expansion efforts, scaling the service to support 9 new AWS regions with zero downtime. Developed internal operations tools to aggregate and batch process

Software Development Engineer at Amazon

June 1, 2025 - Present

Contributed to a LLM benchmarking platform for evaluating model, application, and device performance across accuracy, latency, and providing user-defined metrics to users, enabling internal teams to run configurable experiments using both built-in and user-provided datasets. Developed the frontend using TypeScript and React within a micro-frontend architecture, leveraging Zustand for lightweight state management to improve performance, maintainability, and modularity across independently deployable components. Replaced legacy token management with AWS Cognito and Amplify for authentication and authorization, integrating with enterprise Single Sign-On (SSO) to reduce auth-related edge cases by ~90%. Integrated the application with AWS AppConfig to implement feature flag capabilities, enabling controlled rollouts, A/B testing, and safe experimentation while reducing deployment rollback risk. Designed and implemented AI grading service with Lambda in Python. Leveraged AWS Bedrock to dynam