Summary
Andreas Klingenbrunn is a Senior IT Data Scientist with a decade of experience building production-grade ML models and scalable data infrastructure across cloud and bare-metal environments. He has led petabyte-scale database deployments and real-time pipelines using Kafka, ClickHouse, and BigQuery at Qualcomm, and has hands-on ML engineering experience from building pricing and image-recognition systems with AWS Lambda endpoints. Trained with a CS master’s and a data science bachelor from ITU Copenhagen, he pairs strong statistical foundations with pragmatic engineering—writing clean, deployable code and migrating legacy stacks to modern architectures. A dual US–Denmark citizen based in San Diego, he brings international experience beyond engineering, from teaching university courses to instructing snowboarders, reflecting an ability to communicate technical concepts to diverse audiences.
10 years of coding experience
2 years of employment as a software developer
High School Diploma, National Security Policy Studies, High School Diploma, National Security Policy Studies at Westview High School
Master's degree, Computer Science, Master's degree, Computer Science at IT-Universitetet i København
English, Danish