Adar Weidman
Code Analysis Architect at JFrog
Israel
Summary
🤩
Rockstar🎓
Top SchoolAdar Weidman is a Code Analysis Architect with 30+ years of technical and leadership experience and seven years in senior engineering roles, specializing in code analysis, algorithms, application security, and data science. He has led and scaled engineering teams from startup to enterprise—most recently at JFrog and previously as Director of Innovation and Engine Development at Checkmarx—driving large refactors, next-generation SAST engines, and ML-infused improvements to static analysis. Known as a people-first manager, he ties technical excellence to strong processes, mentorship, and cross-functional collaboration with Product, HR, and customers. His background spans research-grade algorithm design in military intelligence to commercial security products, giving him a rare blend of formal methods and pragmatic delivery. Adar also studies data science and machine learning formally, and brings a musician’s sensibility for pattern and structure to problem solving.
7 years of coding experience
29 years of employment as a software developer
MSc Operations Research and System Analysis, MSc Operations Research and System Analysis at Technion - Israel Institute of TechnologyProfessional Studies Data Science and Machine Learning, Professional Studies Data Science and Machine Learning at School of Data Science YDATABA Musicology, BA Musicology at Tel Aviv University
English, Hebrew
Github Skills (19)
devsecops10
vulnerability-scanners10
supply-chain-security10
open-policy-agent10
checkmarx10
security10
infrastructure10
vulnerability-detection10
cycle10
golang10
attestation10
compliance10
infrastructure-as-code10
vulnerabilities10
sca10
Programming languages (2)
Github contributions (5)
AdarWeidman/cv
Apr 2022 - May 2022
Contributions:6 pushes in 1 month
AdarWeidman/PyTorchMedicalAI
Nov 2018 - Dec 2018
This is the hands-on deep learning tutorial series for the 2018/2019 Medical AI course by DeepOncology AI.
Contributions:2 pushes in 3 days
pytorchhands-ondeep-learninghandsmachine-learning
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