Summary
Viktor Losing is a Senior Data Scientist II with a decade of experience building and deploying machine learning systems that handle sequential data, including NLP and time series. He holds a summa cum laude PhD in Machine Learning and has translated academic innovations—such as an award-winning Self-Adjusting Memory algorithm and a split-time prediction for online trees—into practical products and research-led projects. At Honda Research Institute he led real-time motion recognition and commonsense extraction work, and now drives advanced AI efforts at CrowdStrike focused on automating and optimizing complex processes. Viktor combines deep research pedigree with hands-on engineering, from reducing runtime in production systems to coaching students and stakeholders, and often bridges the gap between novel algorithms and measurable business impact. An understated strength is his ability to commercialize incremental-learning ideas into robust, maintainable systems that improve ergonomics and operational efficiency.
10 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning, Summa cum laude, Doctor of Philosophy - PhD, Machine Learning, Summa cum laude at Bielefeld University
English, German, French, Russian