Machine Learning Engineer, Builder
I build AI systems that work at scale. I enjoy solving real-world problems with machine learning. Based in the San Francisco Bay Area.
My work has ranged from real-time fraud detection, to LLM-powered product features, to predictive models that helped match guide dogs with their humans. I'm drawn to problems where ML creates meaningful impact.
I write about the technical insights, design decisions, and lessons from building ML systems. Explore my blog posts or learn more about me.
Recent Posts
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Skills, Plugins, Sub-Agents, and MCP Servers: A Developer's Guide to Agent Architecture Primitives
Understanding what the LLM actually sees, what runs where, and why each abstraction exists.
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Building an AI-Powered Visa Advisor: Architecture, Evaluation, and Lessons from Shipping an LLM Powered Product
A deep dive into the architecture, design decisions, evaluation framework, and lessons learned from building Visa Advisor — an LLM-powered service that delivers structured visa guidance using web search grounding, multi-model analysis, and real-time streaming.