Úlfar Erlingsson is a Distinguished Engineer in Cloud Security at Google based in Ithaca, NY, who blends deep systems and privacy research with product-scale engineering. He has driven foundational work across kernel and hardware roots-of-trust to privacy-preserving analytics and machine learning—contributions include RAPPOR, Macaroons, and papers on unintended memorization and amplification by shuffling. As a founder (Green Border), former Apple tech lead, and Lacework chief architect, he repeatedly turns research into deployed security products and standards, including work that fed into the IETF PPM‑DAP effort. His hands-on contributions extend to open-source and teaching-OS kernel work, demonstrating rare breadth from low-level systems to cloud-scale security.
Envision a future where every student can read all the code of a teaching operating system.
Role in this project:
Back-end Developer & Systems Engineer
Contributions:27 releases, 25 reviews, 978 commits in 11 months
Contributions summary:Yunhao contributed to the development of a teaching operating system, with a focus on core kernel components. Their work included implementing memory allocation functions using `malloc` and `sbrk` in a bare-metal environment, and integrating the file system by implementing a directory system to be run by a user-space application. Furthermore, they added essential file system functionality such as directory lookup and file reading by creating the respective functions.
A general-purpose BFT state machine replication library with modularity and simplicity, suitable for building hybrid consensus cryptocurrencies.
Contributions:13 commits, 324 pushes, 9 branches in 6 months
bftconsensusmodularitypurposesuitable
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