Summary
Sepehr Noorzadeh is a full-stack developer based in Malmö with nine years of experience building web and mobile applications and production ML pipelines. He blends practical front-end/back-end skills (Node.js, React, React Native, Ruby on Rails) with research-grade machine learning expertise—his master’s thesis produced a modular sequence-to-sequence pipeline and a novel Knowledge Tracing architecture that outperformed state-of-the-art models on some datasets. At Knowit he delivers full-stack solutions, while earlier consultancy and academic roles gave him hands-on deployment experience with Docker, AWS/Heroku and legacy systems. Comfortable in agile teams, he also mentors and teaches, having supported courses in image analysis and concurrent programming. That mix of functional-programming interest, computer-graphics intuition and ML research makes him adept at turning complex algorithmic ideas into practical, maintainable software.
9 years of coding experience
Master's degree, Computer Science and Engineering, Master's degree, Computer Science and Engineering at The Faculty of Engineering at Lund University
English, Swedish, Persian, Azerbaijani