Angak Gene Browser is a biomedical data exploration platform designed to help researchers interact with large, complex genomic datasets through a clean and responsive web interface.

The backend was powered by Python, but the real challenge was creating a frontend experience that could make that backend usable: researchers needed to search genes, filter studies, explore disease areas, select experiments, manage datasets, inspect metadata, and download analysis-ready results without getting lost in the complexity of the data.

This is where my experience as an industry veteran came in.

The project used an old-school frontend stack — JavaScript, jQuery, HTML, CSS, and Panini templates — but the thinking behind the build was very much modern: reusable interface patterns, component-like sections, stateful interactions, progressive filtering, dashboard summaries, and data-driven UI flows. In many ways, this was about bringing an older frontend architecture back to life and making it feel closer to the kind of polished interaction you would expect from a React-based application.

The result was a practical, research-focused frontend that gave structure, visibility, and usability to a data-heavy Python backend.