Till Bergmann
Machine Learning Engineer at neoshare AG
Munich, Bavaria, Germany
Summary
🤩
Rockstar🎓
Top SchoolTill Bergmann is a machine learning engineer with 11 years of experience building and scaling ML products and teams, currently based in Munich. He has led large, distributed data science and engineering teams at Salesforce, driving migrations and production systems that handled billions of daily predictions, and more recently continued product-focused ML work at Future Evidence Foundation and neoshare AG. His strengths lie in designing end-to-end, multi-tenant pipelines and experimentation platforms that make complex models accessible to end users, blending software engineering rigor (Scala, Spark, microservices) with product sensibility. With a PhD in Cognitive Science and a background spanning computer science and humanities, he brings a rare mix of research depth, user-centered thinking, and operational discipline to ML systems.
11 years of coding experience
11 years of employment as a software developer
Computer Science, Computer Science at Imperial College LondonBachelor of Arts (B.A.), English Language and Literature; Modern History, Bachelor of Arts (B.A.), English Language and Literature; Modern History at Heidelberg UniversityDoctor of Philosophy (PhD), Cognitive Science, Doctor of Philosophy (PhD), Cognitive Science at University of California, Merced
German, English
Github Skills (20)
dsl10
feature-engineering10
structured-data10
automated-machine-learning10
einstein10
salesforce10
spark9
strongly-typed9
scala9
ai8
machine-learning8
automl8
transformers8
modular8
apache-spark7
Programming languages (1)
Github contributions (5)
tillbe/R-Scripts
Jan 2015 - Oct 2015
Contributions:11 pushes in 9 months
tillbe/pelican-blog
May 2015 - Oct 2015
Contributions:14 pushes, 1 branch in 5 months
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