Summary
Oskar Eriksson is a Development Lead based in Stockholm with nine years of experience building data-rich, production ML and analytics platforms. He has hands-on expertise in Python, cloud-native AWS architectures, Snowflake/Iceberg, Terraform, and orchestration tools—having designed and implemented a ground-up data platform and MLOps pipeline for ATG. His background blends research and product engineering, from a published master's project on deep learning for radiation therapy to real-time speech inference work at Furhat Robotics. Oskar is comfortable across the full stack of ETL, analytics, and model deployment, frequently moving prototypes into scalable services. He publishes playful technical demos (see theevalgame and Pyzzles) that hint at a curiosity for interactive tooling and experimenting with Python-driven UX. Known for translating complex ML requirements into pragmatic, governed data systems, he pairs academic rigor with delivery-focused leadership.
9 years of coding experience
6 years of employment as a software developer
Master of Science Machine Learning, Master of Science Machine Learning at KTH Royal Institute of Technology
Higher Education Diploma Psychology, Higher Education Diploma Psychology at Linnaeus University
Swedish, English