Summary
Henrik Leijon is an AI lead and physicist with 16 years of experience turning large, complex datasets into production-ready machine learning solutions. With a PhD from Uppsala University for work on the ATLAS experiment at CERN, he blends rigorous scientific thinking with hands-on engineering across cloud platforms (GCP, AWS), orchestration (Kubernetes, Airflow), and ML frameworks (TensorFlow, scikit-learn). He has led ML teams at Prisjakt, Spiideo, Sogeti and now System Verification, building data warehouses in BigQuery, reliable training/deployment pipelines, and scalable labelling and QA practices. Known for loving "huge amounts of data," he pairs deep analytics (Pandas, Data Studio) with practical governance—helping organizations apply QA principles to data and AI systems. Based in Lund, Sweden, Henrik brings a rare combination of particle-physics rigor and product-focused ML leadership.
16 years of coding experience
16 years of employment as a software developer
High school, High school at Ådalsskolan, Kramfors
Master of Science (M.Sc.), Physics, Master of Science (M.Sc.), Physics at Uppsala universitet
Doctor of Philosophy (Ph.D.), Elementary Particle Physics, Doctor of Philosophy (Ph.D.), Elementary Particle Physics at Uppsala University
English, German