Lucas De Haas
Senior Machine Learning Engineer at Spotify
Randstad, Netherlands
Summary
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Rockstar🎓
Top SchoolLucas De Haas is a Senior Machine Learning Engineer with a decade of experience building production-first personalization and ranking systems, currently working on user-level content valuation at Spotify. He has led end-to-end ML efforts—from streaming feature pipelines and real-time personalized push services to unifying batch and stream processing with Spark Streaming and Delta Lake—delivering measurable engagement gains at scale. Previously he improved Rasa’s open-source conversational AI stack by bridging research and production, and as a team lead at DPG Media he combined hands-on engineering with people leadership and onboarding. He holds a cum laude MSc in Artificial Intelligence and a strong interdisciplinary background in social psychology and liberal arts, which informs his pragmatic, user-centered approach to ML. Known for turning research prototypes into reliable, reproducible pipelines (Docker, MLflow, SageMaker) and for improving CI/CD and test reliability, he thrives on making complex models maintainable and fast in production.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BSc), Liberal Arts and Sciences, 8.0/10 (GPA: 4.0), Bachelor of Science (BSc), Liberal Arts and Sciences, 8.0/10 (GPA: 4.0) at Utrecht University
Dutch, English, French, German, Spanish
Github Skills (41)
aws10
terraform9
terraform-provider9
metadata9
hackage9
terraform-module9
cabal8
python8
compile8
r8
upstream8
colorize7
parallel7
data-mining7
autocomplete7
Programming languages (7)
Github contributions (5)
blendle/research-summarization
Sep 2017 - Dec 2017
Contributions:17 commits, 10 pushes in 3 months
V1ncam/pl16
Feb 2016 - Apr 2016
Contributions:11 pushes, 1 branch in 1 month
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