Hi! I'm Jacob
I AM A SOFTWARE ENGINEER WHO SPECIALIZES IN CREATING
BEAUTIFUL
FUNCTIONALAND
UNIQUEWEB EXPERIENCES
Experience
MSU RS&GIS
Full Stack Web Developer | August 2022 - Present
  • Redesigned user interfaces, implemented new functionalities, and deployed features seamlessly across various websites using Next.JS, Laravel, and Cascade CMS with vanilla JavaScript.
  • Developed and integrated RESTful APIs to facilitate data exchange and enhance functionality across applications, ensuring robust and efficient backend support.
  • Conducted weekly client and designer meetings to align technical requirements with aesthetic goals, fostering clear communication and consistent project success.
  • Designed and implemented reusable UI components, which were adopted across various company projects, significantly improving development speed, maintaining design consistency, and reducing duplicated efforts across teams.
  • Comprehensively overhauled several client sites, collaborating effectively with clients while maintaining creative direction. The improved sites boast user-centric interfaces and modern aesthetics, positioning our client for increased patient acquisition.
  • Overhauled key UI elements and data entry processes to create more intuitive workflows, resulting in a 20% reduction in user errors and a 15% increase in site engagement.
  • Executed full-scale site revamps that increased patient acquisition by 10% for our clients, by optimizing sites for performance and modernizing interfaces to meet industry standards.
MSU RS&GIS (Internship)
Software Engineering Intern | April 2022 - August 2022
  • Tasked with taking existing Arc GIS models and converting the models to python. Then streamlining the scripts to decrease processing times by 30% on large geographical data sets with more than 40,000 entries.
  • Devised an innovative workaround for a critical memory leak in ArcGIS geo-processor, slashing individual processing time by 50% and eliminating script crashes, resulting in a multi-week reduction in total processing time.
  • Streamlined and optimized scripts for handling large-scale geospatial data, contributing to a more efficient and scalable data processing pipeline
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