Software Developer @ PennVet
Automated a research lab's data-collection scripts (Python, Selenium, Playwright), cutting script runtime by up to 500% and turning a fragile, ad-hoc process into a reliable pipeline the whole lab could depend on.
Up to 500% faster: profiling and refactoring bottlenecked scripts turned a slow, ad-hoc extraction process into a scalable, repeatable pipeline.
Implementation Notes
Profiled and refactored bottlenecked processing scripts to substantially reduce end-to-end runtime.
Automated PubChem extraction workflows to collect 90+ attributes per compound with repeatable job execution.
Improved consistency in data handling and transformed ad-hoc scripts into reusable utilities.
Focused on stability and maintainability to support collaborative use in a research lab environment.