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Abdul Muma

@abdulmuma

I build audit-ready AI governance, risk, and compliance programs.

United States
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At COACT, Inc., I lead AI governance for high-risk AI/ML systems, conducting risk assessments, model tiering, lifecycle monitoring, and third-party AI risk reviews. I build compliance frameworks aligned to NIST AI RMF, the EU AI Act, and ISO/IEC 42001.

I've created AI use-case intake processes, enterprise inventories, risk catalogs, control inventories, incident-response protocols, and model-retirement procedures. I partner with data science, engineering, legal, compliance, cybersecurity, and enterprise risk teams to assess bias, fairness, explainability, model performance, and regulatory expectations across the AI lifecycle.

Previously, at Gama-1 Technologies and Tantus Technologies, I performed NIST 800-53 control assessments, authorization work, risk reporting, continuous monitoring, and remediation tracking. I also designed an independent six-gate AI governance model and a 23-artifact portfolio covering risk scoring, control mapping, incident response, and model retirement.

Experience

Work history, roles, and key accomplishments

TI

IT Security & Compliance Analyst

Tantus Technologies, Inc.

Jan 2014 - Nov 2018 (4 years 10 months)

Guided Information System Owners on impact levels and developed Certification and Accreditation packages. Managed monthly POA&M updates and remediation tracking, improving closure timeliness by 30 percent.

Education

Degrees, certifications, and relevant coursework

University of Maryland Global Campus logoUC

University of Maryland Global Campus

Master of Science, Information Technology

Master of Science in Information Technology from the University of Maryland Global Campus, completed in December 2019.

Tech stack

Software and tools used professionally

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