David Andersen

CTO And Co-founder at Carnegie Mellon University

Pittsburgh, Pennsylvania, United States
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Summary

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David Andersen is a seasoned technology leader, professor, and serial founder with 16 years of industry experience bridging academia and startup engineering. As CTO and co-founder of BrdgAI and former co-founder of an early deep learning startup, he combines hands-on systems design with product-oriented machine learning infrastructure expertise. A long-time Carnegie Mellon professor and former director of an Intel research center, he researches distributed systems, storage, networks, and ML systems while advising numerous Ph.D. students. His practical security and ML work includes a visiting scientist stint at Google Brain and notable open-source contributions to cryptographic code in the Monero project, where he clarified core proof-of-work internals. Trained with a Ph.D. from MIT and a dual B.S. in computer science and biology, he brings uncommon cross-disciplinary breadth and a habit of improving clarity and maintainability in critical, low-level code.
code16 years of coding experience
job7 years of employment as a software developer
bookPh.D., Computer Science, Ph.D., Computer Science at Massachusetts Institute of Technology
bookThe University of Utah
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21,817reputation
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134answers
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Github Skills (22)

c-language10
python10
machine-learning10
cryptocurrency10
monero10
tensorflow10
cryptography10
aes10
blockchain10
neural-network10
cprogramming-language10
kmeans9
deep-learning9
documentation8
convolution6

Programming languages (9)

C++ShellRustCTeXGoPHPPython

Github contributions (5)

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monero-project/monero

Oct 2014 - Oct 2014

Monero: the secure, private, untraceable cryptocurrency
Role in this project:
userBack-end Developer
Contributions:7 commits, 2 comments in 1 day
Contributions summary:David primarily contributed to the `src/crypto/slow-hash.c` file, which is central to the Monero cryptocurrency's proof-of-work algorithm, CryptoNight. Their commits added extensive documentation, clarifying the internal workings of the algorithm, including steps involving Keccak, AES encryption, and the mixing buffer. The user also made minor corrections like typo fixes, indicating a focus on code clarity and maintainability within the core cryptographic routines.
securecryptographycmakeuntraceableprivacy
dave-andersen/pisearch

May 2013 - Mar 2019

Contributions:47 commits, 12 pushes in 5 years 10 months
golanggo-languagecode-search
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David Andersen - CTO And Co-founder at Carnegie Mellon University