Summary
Sebastian Steenssøe is a Machine Learning Engineer with nine years of experience building production-ready AI systems that bridge research and real-world impact. He has led MLOps and data science efforts at companies like Vivino and Velliv, speeding up model endpoints, raising code quality, and delivering transformer- and CV-based solutions for sensitive data handling and classification. As a freelance AI Data Platform Engineer and CTO contractor, he combines LLMs, computer vision, vector databases, and infrastructure-as-code to deliver scalable, user-friendly product-matching and psychological tools on AWS. He also applies analytics to niche domains—providing tactical performance and player-level insights for a top-tier Danish football club—demonstrating a knack for translating complex models into actionable decision support. Trained in mathematics and economics from Copenhagen Business School, he pairs strong quantitative foundations with pragmatic engineering practices like CI/CD, Terraform, FastAPI, and serverless PostgreSQL.
9 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Mathematics and Economics, Master of Science - MS, Mathematics and Economics at Copenhagen Business School
Danish, English