Marius Richardsen is a versatile full-stack software engineer based in Fredrikstad, Norway, with about a decade of hands-on experience across web and backend technologies. Comfortable in languages and frameworks from PHP/Laravel and Java/Spring to Python/FastAPI, TypeScript/React/Vue and .NET, he moves between front-end interfaces and performant server-side systems with equal ease. Currently at Propell.ai after prior roles at Techweb and a long freelance period, he brings product-focused engineering experience including building and selling apps, game mods, and client solutions. An active open-source contributor, he helped optimize a FastAPI-based COVID-19 tracking API by adding endpoints, caching and CORS support to keep responses under 200ms. At 24 he pairs early-career energy with substantial real-world breadth, blending rapid prototyping instincts from freelancing with production-grade practices in startup environments.
10 years of coding experience
9 years of employment as a software developer
Studiespesialisering, IT, Vidregående Skole, Studiespesialisering, IT, Vidregående Skole at Frederik II videregående skole
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Østfold University College (HiØ)
Ungdomsskole, Ungdomsskole at Children’s International School
🦠 A simple and fast (< 200ms) API for tracking the global coronavirus (COVID-19, SARS-CoV-2) outbreak. It's written in python using the 🔥 FastAPI framework. Supports multiple sources!
Role in this project:
Back-end Developer
Contributions:1 release, 1 review, 246 commits in 2 years 9 months
Contributions summary:Marius primarily contributed to the development and maintenance of the back-end API for the coronavirus tracker. Their work involved implementing new API endpoints for data retrieval, integrating caching mechanisms to improve performance, and adding CORS support for cross-origin requests. They also refactored existing code and addressed bug fixes to ensure the API's functionality and reliability. Furthermore, the user updated the data source and made adjustments to ensure the API functions as expected.
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