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 (20)
ai-agent10
machine-learning10
llmops10
llm9
autoencoder7
orange6
robustness6
self-organizing-map5
neural-network5
cilk5
pthreads3
instrumentation2
graph2
dataflow-programming2
openmp2
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, 2 PRs in 1 year 11 months
neural-network
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