Tom Lous
Lead Data Engineer
Berkel en Rodenrijs, South Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolTom Lous is a Lead Data Engineer with 11 years of hands-on experience building cloud-native, big-data systems using Scala, Spark, Kafka, Kubernetes and ZIO. He has led data platform initiatives at Shell, Royal Schiphol Group and Nike, and currently combines leadership at Aon with freelance entrepreneurship through Winterchip and USponsor Me. Tom focuses on scalable ingestion, streaming and ML pipelines—deploying GraalVM microservices and Spark workloads into Kubernetes and serverless environments. He also trains future data engineers and contributed ML coursework implementations (Andrew Ng’s Coursera) early in his machine learning journey. Based in the Netherlands, he brings a lifelong curiosity—coding since the 1990s—and a pragmatic mix of platform design, hands-on implementation and mentoring.
11 years of coding experience
23 years of employment as a software developer
Artificial Intelligence, Artificial Intelligence at Vrije Universiteit Amsterdam (VU Amsterdam)High School Diploma, Computer programming, AP Chemistry, Drama, Japanese, Architectural Drawing, Creative Writing, High School Diploma, Computer programming, AP Chemistry, Drama, Japanese, Architectural Drawing, Creative Writing at Evansville High SchoolVWO Diploma, Mathematics, Physics, Chemistry, Biology, Latin, English, Dutch, VWO Diploma, Mathematics, Physics, Chemistry, Biology, Latin, English, Dutch at Comenius College te Capelle a/d IJsselChr. Ath. Adriaen Pauw
Dutch, French, English, German
Stackoverflow
2,879reputation
161kreached
81answers
39questions
apache-spark
top-5%
Github Skills (18)
algorithms10
machine-learning10
matlab10
apache-spark9
data-analysis9
svm8
linear-regression8
anomaly-detection7
clustering7
inputstream6
homebrew6
php6
mocking6
pyspark6
python6
Programming languages (10)
Github contributions (5)
vugsus/coursera-machine-learning
Jan 2015 - Apr 2015
Coursera's Machine Learning by Andrew Ng
Role in this project:
Data Scientist
Data ScientistContributions:20 commits in 2 months
Contributions summary:Tom primarily contributed to assignments related to Andrew Ng's Coursera machine learning course. Their work focused on implementing solutions to programming exercises in MATLAB, including linear and SVM models, k-means clustering, and anomaly detection. The user modified and submitted code for various exercises, including email processing, feature extraction, and applying Gaussian kernels. They also worked on quizzes related to the course content.
pythondata-sciencedeep-learningandrew-ngmachine-learning
TomLous/coursera-functional-programming-principles-in-scala.old
Jan 2015 - May 2015
Contributions:30 commits, 24 pushes, 1 branch in 4 months
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