Philip Korsholm is a software consultant based in Copenhagen with four years of professional engineering experience spanning full-stack web development and e-commerce platforms. He has shipped production features at Medusa Commerce, contributing back-end model changes and front-end admin improvements to the popular open-source Medusa project, including product variant ranking and richer discount/gift-card UIs. His background combines enterprise consulting and product engineering at firms like Netlight, Basely, and Schneider Electric, giving him experience from customer-facing API support to business-layer and frontend work in ASP.NET. Philip holds a Master’s in Computer Science from IT University of Copenhagen and often bridges service-layer logic with user-facing UI refinements. He is comfortable working across the stack and shipping tested features that touch data models, services, and admin UX. A practical problem-solver, he tends to focus on small but high-impact product improvements that improve developer and merchant workflows.
4 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at IT-Universitetet i København
Contributions:186 reviews, 620 commits, 125 PRs in 1 year 3 months
Contributions summary:Philip primarily contributed to the front-end of the Medusa Admin system. Their work focused on implementing UI changes, particularly within the gift card and discount management sections. The user addressed bugs, such as currency defaults, and implemented new features, including the addition of date and duration pickers for discount creation and editing. The user also refactored and improved various components related to order details and product listings, enhancing the overall user experience.
Contributions:637 reviews, 1138 commits, 483 PRs in 1 year 5 months
Contributions summary:Philip focused on enhancing the Medusa e-commerce platform with features related to product variant ranking. Their commits involved adding a `rank` field to the `ProductVariant` model, updating the product service to manage and update variant rankings during product creation and updates, and implementing testing to ensure the functionality worked as intended. The user's work demonstrates an understanding of the platform's data model, service layer, and the implementation of new functionality.
shopifycartmedusareactecommerce
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