Reza Farhadi
Staff Machine Learning Engineer at Apple
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolReza Farhadi is a Staff Machine Learning Engineer based in New York with over a decade of experience building and shipping ML and deep learning systems, currently focused on on-device machine learning at Apple. He has led production NLP initiatives—creating microservices for NER, training LSTM and embedding models, and building an internal ML platform (ADLearner) to scale deployment across teams. His research work spans privacy-preserving representation learning for EHRs at McGill, while his earlier career in binary code clone detection and malware fingerprinting gives him an uncommon security-first perspective on ML problems. Practical and product-oriented, he consistently bridges research and engineering to deliver robust on-device and cloud ML solutions using TensorFlow/Keras, Docker and AWS.
13 years of coding experience
8 years of employment as a software developer
M.A.Sci, Computer Science, Data Mining, M.A.Sci, Computer Science, Data Mining at Concordia UniversityBS, Computer Science, BS, Computer Science at Shahid Beheshti UniversityResearcher, Machine Learning, Researcher, Machine Learning at McGill University
Persian, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (37)
core-ml10
coremltools10
validation10
coreml10
model-conversion10
editing10
pytorch9
machine-learning9
tensorflow9
deep-learning8
ida5
graphs5
assembly5
control-flow4
python4
Programming languages (2)
Github contributions (5)
mrfarhadi/BinCloneS
Mar 2016 - Mar 2016
Contributions:3 commits, 2 pushes, 1 branch in 8 days
BinSigma/BinClone
Dec 2012 - Oct 2014
Contributions:31 commits in 1 year 9 months
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