Congzheng Song
Machine Learning Research Engineer at Apple
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolCongzheng Song is a machine learning research engineer at Apple with 11 years of experience bridging academic research and deployed privacy-preserving ML systems. He completed a Ph.D. in Computer Science at Cornell after a strong undergraduate foundation in math and CS at Emory (3.96 GPA), and spent internships at Google, Amazon, and Petuum that shaped his applied research instincts. At Apple he focuses on federated learning and privacy-preserving techniques, translating cutting-edge theory into practical, production-ready solutions. Known for rigorous academic training and a taste for hands-on system-building, he combines deep technical expertise with experience across research labs and industry teams. An owner of a concise personal research site, he brings a researcher’s curiosity to real-world ML privacy challenges in New York.
11 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree, Mathematics and Computer Science, 3.96, Bachelor’s Degree, Mathematics and Computer Science, 3.96 at Emory UniversityDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Cornell University
Chinese, Japanese, English
Stackoverflow
51reputation
3kreached
0answers
1question
Github Skills (15)
sentence9
classification8
multiclass-classification8
qsub6
cluster-computing6
torque6
tensorflow5
deep-learning5
machine-learning5
natural-language-processing2
nlp2
pytorch2
text-generation1
auditing1
bert1
Programming languages (3)
Github contributions (5)
csong27/csong27.github.io
Aug 2016 - Mar 2022
Contributions:43 pushes, 1 branch in 5 years 8 months
petuum/gzsl_text
Oct 2019 - Jul 2020
Contributions:17 commits in 9 months
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