● Designed and implemented Python automation scripts, workflows, and data scrapers to reduce human input by up to 80% for 20+ automation products across 9 different healthcare organizations
● Improved scalability through integration of SQL requests into our data scraping criteria
○ Reduced tech debt by allowing changes to our scraping criteria to be made externally from our regular update schedule, leading to up to 27% fewer tickets per project per week for engineering team
● Appointed as Lead Engineer for our largest client’s products by recommendation of manager and tech leads
○ Oversaw and executed design shifts, feature expansions, and team delegation while meeting client needs
● Conducted weekly code maintenance and refactoring, minimizing tech debt, and speeding up development cycle
● Built internal tool with team of 4 as part of an AKASA Hackathon to manage Kubernetes pods, existing dev machines and automation schedules
○ Cut down on resources wasted on allocated dev machines that were no longer in use by 18.6%
● Quickly advanced from entry on RPA focused team to more senior Workflow Design team in 4 months by manager recommendation