Peculiar Erhisohwode is a fullstack software engineer with five years of experience building web systems and moderation workflows, currently based in Västerås, Sweden. He has shipped backend features that improve data management and moderation at scale—such as batch publish/spam operations and status tracking—while also enhancing front-end mapping UX with image manipulation and integration of external APIs. His work with Public Lab’s MapKnitter and Leaflet.DistortableImage highlights a practical blend of server-side robustness and client-side interactivity for geospatial image tooling. Past roles span fintech, venture-backed startups, and infrastructure services, reflecting adaptability across regulated and fast-moving environments. Peculiar is pursuing a master’s at Mälardalen University while interning as a fullstack engineer at SCAILAB, showing a commitment to deepening product and process skills alongside hands-on engineering.
5 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering - BE Electrical and Electronics Engineering, Bachelor of Engineering - BE Electrical and Electronics Engineering at Federal University of Technology Akure
Master's degree Product and Process Development - Production and Logistics, Master's degree Product and Process Development - Production and Logistics at Mälardalen University
Contributions:17 reviews, 17 commits, 23 PRs in 4 months
Contributions summary:Peculiar contributed significantly to the back-end functionality of the `mapknitter` repository. They implemented features allowing multiple image selections, added status columns to the maps and users tables, and introduced methods for spam and publish management. Furthermore, the user refactored routes, updated tests for spam features, and introduced batch operations for spamming, publishing, and deleting maps. These changes show a focus on enhancing the moderation capabilities and data management within the application.
A Leaflet extension to distort or "rubber sheet" images
Role in this project:
Front-end Developer
Contributions:15 reviews, 6 commits, 4 PRs in 1 month
Contributions summary:Peculiar primarily contributed to the front-end development of the `leaflet.distortableimage` project. Their work involved implementing features within an `archive.html` example, including the creation of an image sidebar, the display of collection images, and the ability to place those images onto the map. They also incorporated external libraries like Bootstrap and Axios to enhance the user interface and interact with external APIs for image fetching. Overall, their focus was on enhancing the user experience and integrating external image sources.
leafletdistortsheetrubbergeotiff
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