Hi, I am Hannes, an experienced, product-focused machine learning engineer and author with a passion for building machine learning (ML) models and improving ML pipelines. As Digits’ first ML engineer, I established the foundation for numerous machine learning projects ranging from similarity learning to custom generative AI. I’m thrilled to work with such an exceptional team of colleagues.
Areas of Expertise
My work focuses on several key areas:
- Similarity learning
- Machine learning for search
- MLOps
- Continuous model training
Publications
In addition to my work at Digits, I’ve co-authored three machine learning related books:
- Machine Learning Production Systems (O’Reilly Media)
- Building Machine Learning Pipelines (O’Reilly Media)
- NLP in Action (Manning Publishing)
These publications demonstrate my expertise in the field and my commitment to helping others understand and use machine learning effectively.
Professional Engagement
I serve on Google’s Developer Board (gDAB) where I advise Google on future projects in the AI/ML space. I moderate Google’s TensorFlow Extended (TFX) special interest group. As a community leader of the TensorFlow Extended (TFX) group, I continuously seek ways to connect with other professionals in the field. I’m also an active contributor to Google’s Model Card Toolkit project, which helps researchers and developers understand and document the characteristics of their ML models.
Professional Philosophy
I am passionate about using machine learning to solve real-world problems and have dedicated my career to building and implementing effective machine learning solutions across various industries. I constantly seek new ways to push the boundaries of what’s possible with machine learning and am always looking to improve and optimize machine learning systems.
