Tilmann Bruckhaus
About Tilmann Bruckhaus
Tilmann Bruckhaus is the Director II of Machine Learning Engineering at Credit Karma, where he has worked since 2019. He has extensive experience in data engineering and analytics, having held leadership roles at various companies and contributed to advancements in AI ethics and governance.
Work at Credit Karma
Tilmann Bruckhaus has served as Director II of Machine Learning Engineering at Credit Karma since 2019. In this role, he has led initiatives focused on AI ethics and governance, collaborating with legal experts to ensure fairness in financial product recommendations. He has also overseen the data sharing program between Credit Karma and Intuit, significantly reducing the sharing velocity from 13 weeks to one week. His efforts have contributed to enhancing user experience and promoting responsible AI practices within the organization.
Education and Expertise
Tilmann Bruckhaus holds a Ph.D. in Computer Science from McGill University and a Master of Science in Computer Science from RWTH Aachen University. His academic background provides a strong foundation for his work in machine learning and data engineering. He has extensive experience in building machine learning platforms and has been involved in various data science initiatives across multiple organizations.
Background
Tilmann Bruckhaus has a diverse professional background, having worked in various roles across multiple companies. Prior to his current position at Credit Karma, he held significant roles at Intuit, Instrumental Inc., Eventbrite, and PayPal, among others. His experience spans over two decades, during which he has developed expertise in data engineering, analytics, and machine learning. He has also co-founded a startup, demonstrating his entrepreneurial spirit.
Achievements
Throughout his career, Tilmann Bruckhaus has achieved notable milestones, including reducing recommendation serving latency by 25% at Intuit, which significantly improved user experience. He oversaw a high-performance recommendations platform that served 130 million users and generated 40 billion predictions per day. Additionally, he has reduced cloud services costs by $20 million annually through performance improvements and designed an engineering risk management process that halved data-related incidents.
Leadership in Data Science
Tilmann Bruckhaus has demonstrated leadership in the field of data science by launching new data science teams at multiple Series A startups. He has built diverse, high-performing teams that foster a culture of innovation and collaboration. Currently, he serves as the Applied Data Science Area Chair for ACM SIGKDD, where he remains engaged with the latest developments in AI research.