A curious approach.

Research informs the way I build.

Complex problems.
Practical systems.

I’m a master’s student in Computer Science at Columbia University, focused on backend engineering, machine learning, and the systems that bring them together. I enjoy designing software that handles complex data and remains dependable as demands grow.

My background includes a Microbiology degree from UCLA and biomedical research on Parkinson’s disease and ALS at Cedars-Sinai. Building tools to process microscopy images and analyze research data drew me toward software engineering and ML, and gives me a particular interest in healthcare, health AI, and biotech.

I’m interested in opportunities across industries where I can build robust backend services, make systems resilient to failure, and solve challenging engineering problems. Whether supporting a healthcare product, an ML application, or another service people rely on, I want to build systems that work reliably in practice.