Reza Farhadi
ML Engineering Lead at Apple
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolReza Farhadi is a machine learning engineer with over a decade of applied experience building and deploying deep learning and NLP systems, currently working on Core ML at Apple in New York. He has led production NLP efforts—designing NER microservices, training LSTM and embedding models, and building an internal ML platform (ADLearner) to scale model delivery. His background spans research and applied roles in healthcare representation learning at McGill, malware analysis and binary code fingerprinting from his earlier research, and robust engineering at Ericsson and AppDirect. Comfortable across the stack, he moves models from TensorFlow/Keras prototypes into Dockerized, cloud-deployed services using CI/CD and orchestration tools. Notably, his work blends rigorous research (privacy-preserving autoencoders, assembly-level clone detection) with pragmatic productionization, giving him an edge in turning complex ML research into reliable products.
13 years of coding experience
15 years of employment as a software developer
M.A.Sci Computer Science, M.A.Sci Computer Science 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 (29)
coremltools10
coreml10
model-conversion10
pytorch9
machine-learning9
tensorflow9
control-flow-graph6
callgraph5
python3
agile3
typescript2
connected2
unit-test2
nfc1
spring-data1
Programming languages (3)
Github contributions (5)
elora-io/elora
Mar 2016 - May 2016
Contributions:69 commits, 4 PRs, 4 pushes in 1 month
agilehelper-toolways-of-workingshapingtypescript
mrfarhadi/BinCloneS
Mar 2016 - Mar 2016
Contributions:3 commits, 2 pushes, 1 branch in 8 days
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