Principal Applied Scientist, AI & AGI Security at Amazon
New York, New York, United States
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Summary
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Tancrède Lepoint is a Principal Applied Scientist with 13 years of expertise at the intersection of cryptography, applied AI security, and production-grade engineering, currently leading AI & AGI security efforts at Amazon. He has driven foundational work in post-quantum and privacy-preserving technologies at Apple and Google, and built libraries and tools for format-preserving encryption, differential privacy, and generative-AI testing that power both internal AWS products and open-source releases. A hands-on cryptographer by training (PhD-level) and active open-source contributor, he has fixed cross-platform bugs and hardened build/test infrastructure in well-known post-quantum projects like liboqs and PQCRystals/kyber. Known for bridging deep research with pragmatic engineering, he combines protocol design and DevOps/security automation to make advanced crypto usable at scale. An unexpected detail: before his industry career he taught probability and analysis to pre-med students, a background that underpins his rigorous approach to threat modeling and statistical privacy.
13 years of coding experience
6 years of employment as a software developer
PhD Computer Science, PhD Computer Science at Ecole normale supérieure
PhD Informatics, PhD Informatics at University of Luxembourg
Contributions:1 review, 18 commits, 4 PRs in 4 years 9 months
Contributions summary:Tancrède primarily focused on fixing compilation issues and addressing bugs related to the project's functionality. The user corrected compilation problems on macOS and resolved a segfault issue, indicating a focus on cross-platform compatibility and code stability. Furthermore, the user's contributions include improvements to random number generation and general code cleanup.
C library for prototyping and experimenting with quantum-resistant cryptography
Role in this project:
DevOps Engineer & Security Engineer
Contributions:23 commits, 26 PRs, 6 pushes in 1 year 10 months
Contributions summary:Tancrède primarily focused on improving the build and test infrastructure, as well as ensuring the code adheres to project standards. They integrated Travis CI, added checks for code style compliance using clang-format, and made enhancements to the Makefile for improved output. The user also addressed security-related concerns by ensuring the correct usage of exit codes and incorporating code formatting standards.
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Tancrède Lepoint - Principal Applied Scientist, AI & AGI Security at Amazon