Amazon
Software Engineer · Austin, TX
01/2024 - Present
- Built an award-winning hackathon POC for enterprise procurement classification that was immediately funded for production; served as technical lead for a team of engineers and data scientists to evolve from an LLM prototype into a scalable classical ML pipeline on AWS SageMaker, now deployed to production processing millions of records with projected annual savings of roughly half a million dollars.
- Designed experimental AI-assisted development workflows using coordinated LLM subagents, tmux-orchestrated task graphs, git-worktrees, and ephemeral cloud environments to parallelize engineering workflows; built internal LLM-powered developer tooling integrating codebase context and operational runbooks.
- Early leader of an AI initiative across a 50+ engineer organization; created a 14-topic agentic AI workshop series, built internal AI agents and developer tooling, and drove adoption of AI-native development workflows across the department.
- Established a department-wide pattern for auto-generated SDKs from OpenAPI specifications, eliminating thousands of lines of manual integration code and standardizing API integrations across multiple systems.