I’m a software engineer with a nontraditional path from management consulting to software engineering.

I currently work as an SDE II at AWS and previously worked at Arize AI, experiences that shaped my interest in backend systems, AI-powered products, developer tools, and practical product building. I’m especially drawn to work at the intersection of engineering, strategy, and product thinking.

I like turning ambiguous ideas into clear, useful systems that solve real problems.

• Personal Finance Copilot — an AI assistant for helping users organize financial information, surface insights, and make better decisions
• Personal Google Workspace Agent — an agent that can search, reason, and take action across Gmail, Calendar, Docs, and Drive
• Fashion Outfit AI Matcher — a tool that identifies outfits from images and recommends exact matches or similar items to buy

• LLM agents and tool-using systems
• Retrieval, evaluation, and reliability for AI products
• AI-native workflow automation across productivity tools

• LLM application engineering
• Retrieval-augmented generation (RAG)
• Evaluation and prompt/system quality measurement
• Tool calling and agent workflows
• Backend systems for AI products
• Observability, reliability, and productionization

Python, TypeScript, AWS, APIs, distributed systems, LLM application development, RAG, embeddings, vector search, evaluation pipelines, agent workflows, structured outputs