Babak Loni

Senior Machine Learning Engineer at Meta

Amsterdam, North Holland, Netherlands
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Summary

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Senior
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Top School
Babak Loni is a Senior Machine Learning Engineer with 12 years of experience building production-grade ML systems and leading teams across finance, media, and tech. He holds an MSc with honours and a PhD in Computer Science and combines deep research on recommender systems with hands-on expertise in Spark, Kubernetes, MLflow, Airflow and large-scale Python/Java deployments. At ING he led the Machine Learning Engineering chapter to operationalize models for reliability and scalability, and he now applies that production focus to complex problems at Meta. He co-founded a grocery marketplace that was acquired, having designed its recommendation framework end-to-end, which underscores his product-minded approach to ML. Known for shipping distributed personalization pipelines (published RecSys work) and bridging research with engineering, he thrives on turning state-of-the-art algorithms into measurable business impact.
code12 years of coding experience
job8 years of employment as a software developer
bookAmirkabir University of Technology
bookTU Delft
languagesEnglish, Persian, Dutch
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Stackoverflow

Stats
108reputation
5kreached
1answer
5questions
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Github Skills (36)

recommendation-system10
sharding10
matrix-factorization10
collaborative-filtering10
recommender-system10
evaluation9
pytorch9
algorithms9
text-analysis9
gpu9
deep-learning9
cuda9
text-processing8
dotnet7
nlp6

Programming languages (6)

C#TypeScriptJavaJupyter NotebookRubyPython

Github contributions (5)

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babakx/WrapRec

May 2014 - Nov 2018

A framework to evaluate recommender system algorithms
Contributions:12 releases, 219 commits, 32 PRs in 4 years 6 months
recommender-system
babakx/MyMediaLite

May 2015 - Nov 2016

Contributions:7 pushes, 1 branch in 1 year 6 months
dotnetrecommendermachine-learningclrrecommender-system
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