Bryant Menn is a Senior Principal Scientist based in Atlanta with 11 years of experience building trustworthy and adversarial AI/ML systems, particularly for RF and national security applications. He blends deep ML research (unsupervised and semi‑supervised methods, GANs, contrastive learning) with strong data engineering, software engineering, and DevOps chops—having architected big data pipelines and automated deployments at scale. As a co-PI on DARPA Learning for Less Labels and contributor to DARPA robustness programs, he focuses on reducing label dependence and defending models against poisoning and adversarial threats. His background spans industry and applied research, from leading anti‑human‑trafficking analytics to production clinical systems handling tens of millions of patient records. Bryant also contributes to open-source testing infrastructure (e.g., scikit-cuda CI/test work), reflecting a practical commitment to reliability beyond model development.
11 years of coding experience
12 years of employment as a software developer
Master of Science - MS Operations Research, Master of Science - MS Operations Research at Georgia Institute of Technology
Contributions:8 commits, 1 PR, 1 comment in 1 month
Contributions summary:Bryant primarily focused on testing and quality assurance activities within the scikit-cuda repository. The commits include adding and reverting Travis-CI support, indicating involvement in setting up and maintaining the testing infrastructure. Further contributions involve disabling a specific test due to a segfault, highlighting bug identification and mitigation in the testing process.
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.
Request Free Trial
Bryant Menn - Senior Principal Scientist at BAE Systems, Inc.