Alan Höng is a CTO and machine learning practitioner with 11 years of experience building, deploying and maintaining production ML and statistical systems for clients across industries. He leads distributed teams from Berlin, shipping solutions that scale from laptop prototypes to cloud or on-prem clusters—covering time series forecasting, recommender systems, A/B testing and churn prediction. Comfortable bridging research and engineering, he rapidly delivers first results to validate projects and iterates on models and data pipelines to keep systems healthy in production. His background as a web designer gives him a practical edge in visualization and stakeholder communication, using tools from canvas/OpenGL to Bokeh to make complex model outputs accessible. He’s particularly skilled at preventing time-series data leakage and designing flow-based Python pipelines for reliable model evaluation and deployment.
11 years of coding experience
Bachelor of Science (B.Sc.) Informatik, Bachelor of Science (B.Sc.) Informatik at Federal University of Rio Grande do Sul
Bachelor of Science (B.Sc.) Computer Science, Bachelor of Science (B.Sc.) Computer Science at Technische Universität Berlin
Contributions:4 PRs, 52 pushes, 5 branches in 2 years 1 month
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