Work Experience
Professional Experience
Building Alexa+, Amazon's next-gen conversational AI with autonomous agent orchestration and multi-agent task execution.
Key Accomplishments:
- Building pipeline infrastructure for Alexa+: multi-agent orchestration and autonomous task execution at scale for Amazon's next-gen conversational AI.
- Developing LearningCompanion content pipeline: deep research, content planning, and quality validation in a multi-agent Python/Java framework; automated personalized text digests (scheduling & notifications).
- Integrated MCP adapter connecting Python-based LLM agents to Java backend services; transport API, integration tests, cloud coverage reporting, and prompt testing for orchestration workflows.
- Implemented performance state management with MemoryDB: persistence for complex task dependency graphs; DSAR compliance workflows for agent memory (enterprise data governance & privacy).
Software Engineer
Amazon | Alexa Central Analytics & Research Science
June 2024 – May 2025
Integrated caching and data-sharing solutions for Alexa+ pipeline; shipped notification system for BanyanLite device.
Key Accomplishments:
- Integrated PDM caching microservice into the Alexa+ orchestration pipeline, implementing cache-hit/miss routing that bypasses content sourcing and ranking services on cache hits, reducing backend calls and latency for millions of Echo Show devices.
- Shipped notification system for BanyanLite, Amazon's new Alexa device launched Dec 2024, collaborating cross-team to deliver on a tight hardware launch deadline.
- Implemented SQS batch API integration consolidating individual message sends into batched operations, achieving 10X cost reduction in queue processing.
- Built ShareLink microservice enabling secure one-click transfer of 2000+ utterance IDs between Impact 2.0 and Sleuth platforms, eliminating manual copy/paste and reducing data leakage risk for data scientists.
Built frontend and data platform features for cloud-based portfolio analytics products.
Key Accomplishments:
- Developed backend services in C#/.NET and designed scalable data pipelines using SQL and DynamoDB for stock indicators and strategy results.
- Worked across engineering and product to ship cloud features end-to-end on AWS with CI/CD, improving platform reliability and release speed.
Technical Skills
Programming Languages
JavaPythonJavaScriptTypeScriptC/C++KotlinR
Frameworks & Libraries
Vue.jsReact.jsNode.jsExpressASP.NetSpring BootCypressJest
Cloud & Tools
DynamoDBS3AthenaCloudWatchEKSBedrockEC2DockerGit&GitHubMongoDBSQLiteLambdaIAM role