Klas Leino
PhD Candidate
Pittsburgh, Pennsylvania, United States
Summary
🤩
RockstarKlas Leino is a PhD-trained researcher turned practitioner specializing in the security, transparency, and privacy of deep neural networks, with eight years of experience in the field. Having completed doctoral work at Carnegie Mellon University, he focuses on understanding and mitigating DNN vulnerabilities to make models more robust and interpretable. Based in Pittsburgh, he blends rigorous academic methods with practical engineering to translate research insights into safer ML systems. Colleagues would note his uncommon combination of adversarial mindset and privacy-first thinking, which informs both threat modeling and defensive design.
8 years of coding experience
Github Skills (17)
pytorch10
interpretation10
evaluation10
machine-learning10
llm10
llmops10
evaluation-framework10
deep-learning9
orange6
self-organizing-map6
autoencoder6
robustness4
graph2
dataflow-programming2
parallel2
Programming languages (2)
Github contributions (5)
cmu-transparency/lib-attribution
Apr 2019 - Aug 2021
Contributions:18 commits, 1 push, 1 comment in 2 years 4 months
klasleino/gloro
Feb 2021 - Jan 2023
Library for training globally-robust neural networks.
Contributions:3 releases, 53 commits, 1 PR in 1 year 11 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.