Haroon Mohamed
Machine Learning Engineer at Meta
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolHaroon Mohamed is a Machine Learning Engineer based in San Francisco with 12 years of experience building large-scale predictive systems and personalized recommendation engines. He holds an MIMS with a Data Science concentration from UC Berkeley and has applied those skills across roles at Meta and Simply Hired, focusing on text classification, NLP, and job-search personalization. Adept with big data stacks—Python, Hadoop, Spark, and AWS (S3, EC2, EMR, Redshift)—he moves models from research into production at scale. His background spans enterprise and consultancy roots from Tata and EMC to fast-moving product teams, giving him a pragmatic blend of systems engineering and applied ML. Colleagues appreciate that he combines rigorous statistical modeling with operational know-how to deliver measurable product impact.
12 years of coding experience
7 years of employment as a software developer
Master of Information Management and Systems, Data Science, Master of Information Management and Systems, Data Science at University of California, BerkeleyB.Tech, Telecommunication, B.Tech, Telecommunication at Vellore Institute of Technology
English, Tamil
Github Skills (5)
stream8
jquery8
javascript5
angularjs1
angular1
Github contributions (5)
haroonrasheed333/NLPCareerTrajectory
Dec 2013 - May 2014
Contributions:151 commits in 4 months
haroonrasheed333/scala-travis
Nov 2015 - Nov 2015
Contributions:6 pushes, 1 branch in 1 day
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