Work Experience

Software Engineer II

Securing Microsoft Copilot for enterprise - building trust infrastructure for AI-assisted workflows at scale.

Software Engineer

Building Alexa+, Amazon's next-gen conversational AI with autonomous agent orchestration and multi-agent task execution.

• 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

Integrated caching and data-sharing solutions for Alexa+ pipeline; shipped notification system for BanyanLite device.

• 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.