Summary
Felix Gudéhn is a Machine Learning Engineer with 10 years of hands-on experience building full-stack products that bridge appealing user interfaces and data-driven backends. He has worked across academia and industry—from developing deep learning models for gene expression at University of Technology Sydney to shipping recommendation engines and e-commerce logistics systems in production. Comfortable across React, TypeScript, Serverless and AWS, Felix mixes front-end craftsmanship with analytics and ML engineering to deliver end-to-end solutions. His background includes leading performance and automated testing initiatives, and he often combines research-grade experimentation with pragmatic, production-ready code. Based in Greater Stockholm, he brings a curious builder’s mindset—“Hey! I build things”—and a track record of turning complex data problems into usable products.
10 years of coding experience
9 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at KTH Royal Institute of Technology
Bachelor's degree, Information Technology, Bachelor's degree, Information Technology at University of Technology Sydney
Secondary Degree, Natural Sciences, Secondary Degree, Natural Sciences at Kungsholmens Gymnasium
English, Swedish, Spanish