Abdullah Mobeen

Member Of Technical Staff at Anthropic

New York City Metropolitan Area United States
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Summary

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Abdullah Mobeen is a machine learning engineer and Member of Technical Staff based in the New York City area, with a solid Python and data science foundation from NYU. He has built scalable AI systems at Spotify and now contributes to advanced ML work at Anthropic, bringing practical production experience across cloud and embedded contexts. Earlier work improved security for embedded systems at Palitronica, highlighting his ability to apply ML to hard engineering constraints. Though publicly active for about two years in formal roles, he brings 5+ years of hands-on Python and data science practice behind the scenes. Colleagues rely on him to bridge research-quality models and production-grade engineering, especially where efficiency and security matter. He combines a pragmatic engineering mindset with curiosity for pushing ML into constrained and high-scale environments.
code2 years of coding experience
job5 years of employment as a software developer
bookBachelor of Science (B.Sc.), Computer Science, Data Science, Bachelor of Science (B.Sc.), Computer Science, Data Science at New York University
bookHigh School Diploma, High School Diploma at Beaconhouse
languagesHindi, Punjabi, Chinese, Urdu, English
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Github Skills (33)

language-detection10
transformers10
machine-translation10
named-entity-recognition10
spark10
entity-extraction10
pyspark10
onnx10
llamacpp10
text-classification10
seq2seq10
runnable10
llm10
sentiment-analysis10
tensorflow10

Programming languages (4)

C++ScalaJupyter NotebookPython

Github contributions (5)

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Contributions:2 pushes, 1 branch in 9 months
AbdullahMubeenAnwar/data

Sep 2025 - Mar 2026

Contributions:13 pushes, 1 branch in 5 months
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