Senior Director- Datacenter Global Security Programs
Los Angeles Metropolitan Area United States
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Summary
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Senior
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Top School
Hannah B is a senior security executive with over two decades of experience protecting critical infrastructure and nine years in focused cloud and datacenter security leadership at Microsoft. She currently leads Global Security Programs for Microsoft’s datacenter and cloud infrastructure, after directing threat and incident management and building investigation and remediation capabilities across a global footprint. Her background spans military operations, corporate investigations, maritime incident programs, and enterprise security operations, giving her a rare blend of tactical field experience and strategic program delivery. Hannah pairs advanced academic credentials in homeland security and public health preparedness with an MBA, and is completing a doctorate in Homeland Security, reflecting a commitment to evidence-based security strategy. She also contributes to open-source NLP tooling as an ML engineer—adding contextual meaning perturbation features to the well-regarded NL-Augmenter repo—demonstrating hands-on technical curiosity beyond executive responsibilities. Based in Los Angeles, she balances corporate leadership with entrepreneurial activity as co-owner of a franchise, highlighting operational versatility and pragmatic problem-solving.
9 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Social Science- Criminal Justice, Bachelor's degree, Social Science- Criminal Justice at Washington State University
Additional Qualifications
Master's degree, Homeland Security-Public Health Preparedness, Master's degree, Homeland Security-Public Health Preparedness at Pennsylvania State University College of Medicine
Master of Business Administration - MBA, Business Administration and Management, General, Master of Business Administration - MBA, Business Administration and Management, General at Western Governors University
Doctorate, Homeland Security, Doctorate, Homeland Security at St. John's University
NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations
Role in this project:
ML Engineer
Contributions:8 reviews, 11 commits, 4 PRs in 3 months
Contributions summary:Hannah implemented a contextual meaning perturbation transformation within the NL-Augmenter repository, adding functionality to alter sentence structures while preserving meaning. Their work involved utilizing the transformers and spaCy libraries to perform linguistic analysis and generate alternative sentence constructions. They also extended the feature to return multiple permutations of sentences and included the addition of quality estimation tasks. Furthermore, the user integrated Python logging and made minor adjustments.
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