Building a full stack web-based cognitive assessment platform that translates research workflows into intuitive, user-centered interfaces for experiment configuration, preview, and execution. Enabled researchers to customize stimulus sets, manage participant sessions, and automatically share session links, streamlining experiment setup and data collection. Designed participant-facing experiences to reduce cognitive load and support focused task performance. Developed a responsive frontend using Next.js, TypeScript, and Tailwind CSS, and collaborate closely with faculty to iterate on features based on user needs and cognitive research methodologies.

Designed and implemented prompt engineering workflows

Developed backend systems for a health diagnostic app using Python and NLP tools

Utilized machine learning techniques to capture and transform medical concepts, to be integrated into a novel diagnostic algorithm model

Designed data processing workflows to structure and analyze complex medical information

Collaborated with clinicians and engineers to align technical solutions with healthcare needs

Contributed to research-driven development under regulatory and academic standards