Summary
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Rockstar🎓
Top SchoolAbdullah 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.
2 years of coding experience
3 years of employment as a software developer
Bachelor of Science (B.Sc.), Computer Science, Data Science, Bachelor of Science (B.Sc.), Computer Science, Data Science at New York University
High School Diploma, High School Diploma at Beaconhouse
Hindi, Punjabi, Chinese, Urdu, English