I'm a software engineer with a background in business and as a practicing attorney. That experience helped me develop a strong foundation in analysis, precision, and strategic problem-solving while working in complex, high-stakes environments. Today, I bring that mindset to engineering, solving technical challenges with a focus on building clean, efficient, and impactful software.
Most recently, I co-created Nimbus, an open-source deployment framework that simplifies getting lightweight NLP models into production. If you're interested, I authored an in-depth technical case study exploring the system design, engineering decisions, and challenges behind the project.
Software Engineering Intern @ Mastra — Building AI agent infrastructure including PostHog observability, Azure OpenAI Gateway support, MCP auth-context propagation, and tool builder enhancements.
Open Source Contributor @ Mozilla Firefox — Contributing to WebExtensions API improvements, keyboard shortcut conflict safeguards, and API documentation refinements.
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| Cloud & Infrastructure |  |
| AI/ML | |
| Testing & Tools |