About Me

Hi there and welcome to my website!

I’m Madison, a full-stack software engineer with a background in machine learning and a focus on building scalable, AI-native systems. I earned my M.S. in Computer Science from Columbia University in December 2023, completing the Machine Learning track. While there, I was awarded the Lustgarten Whitney Fellowship, which is based on students’ academic potential for success in computer science.

My technical interests lie in LLM-based infrastructure, agentic workflows, and security-first architecture. At Kindo AI, I’ve led core initiatives across the stack—designing and shipping a native integrations platform, implementing enterprise-grade RBAC with Cerbos, and launching Hatchet, an orchestration layer for robust, multi-step LLM operations. I also spearheaded a front-end revamp using React and TypeScript to better support secure DevSecOps workflows.

Previously, I developed a multilingual e-commerce frontend on Shopify, worked on behavior prediction models at Ford using connected vehicle data, and conducted research on recommender system dynamics and recursive LLM degradation. My academic work spans algorithmic design, AI ethics, and simulation-based experimentation.

I hold dual undergraduate degrees from UCLA in Cognitive Science (B.S.) and Human Biology & Society (B.A.), where I studied the feedback loop between technology, behavior, and systems of power. That background continues to inform my approach to engineering, especially in aligning software architecture with real-world impact.

And yes, that favicon you’re seeing is of my hairless cat, Drogon (Khal for short). He supervises most of my commits.