Joseph Zhang
Incoming Quantitative Research Engineer
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJoseph Zhang is an incoming Quantitative Research Engineer at Citadel with six years of experience applying software engineering and research skills to security and ML problems. He has built memory-forensics tooling for recovering Python/TensorFlow objects and detecting model backdoors as a research assistant at Georgia Tech, and has interned at Amazon on employee escalation services and at the DoD designing client-side IDS for wireless attacks. Based in San Jose, he blends low-level systems work with applied machine learning and security, comfortable moving from volatility plugins to production-scale services. His background in Networked and Social Systems Engineering gives him a systems-oriented view of complex, adversarial environments and a practical bent for turning prototypes into operational tools.
6 years of coding experience
2 years of employment as a software developer
Bachelor of Science in Engineering, Networked and Social Systems Engineering, Bachelor of Science in Engineering, Networked and Social Systems Engineering at University of Pennsylvania
Github Skills (14)
low-level9
ram8
malware7
performance-analysis6
python6
linux4
facebook-clone4
react3
facebook3
spark2
apache2
apache-spark2
css1
javascript1
Programming languages (5)
Github contributions (5)
joezbub/Algorithms
Nov 2019 - Nov 2019
Contributions:25 commits, 24 pushes, 1 branch in 1 day
joezbub/Volatility-on-Linux
Jun 2020 - Sep 2021
Contributions:17 commits, 13 pushes in 1 year 3 months
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