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M
Mary

Mary

Cloud Risk & Governance Analyst (AWS) — H3Africa (Remote)

USA flagSeattle, Usa

Key Skills

Software

Don't disclose

Top Subject Matter

Cloud security governance
Risk Domain Expertise
and compliance (AWS)

Top Data Types

DocumentDocument
Computer Code ProgrammingComputer Code Programming
TextText

Top Task Types

Text SummarizationText Summarization
Text GenerationText Generation

Freelancer Overview

Cloud Risk & Governance Analyst (AWS) — H3Africa (Remote). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Amazon Bedrock. Education includes Master of Science, Per Scholas (2026) and Bachelor of Science, Maharishi International University. AI-training focus includes data types such as Document, Computer Code, and Programming and labeling workflows including Text Summarization and Text Generation.

Labeling Experience

AI AWS GRC Platform (Personal Project)

Text GenerationText Generation

Architected an AI-enabled governance pipeline to transform Security Hub findings into LLM-generated risk summaries and remediation guidance. Engineered prompt workflows to automate governance reporting and reduce manual compliance documentation effort. Normalized multi-source security data schemas prior to LLM generation to improve downstream consistency. • Routed Security Hub findings via EventBridge to Lambda with schema normalization • Integrated Amazon Bedrock to auto-generate risk summaries and remediation guidance • Generated executive compliance reports from processed security evidence • Provisioned storage for audit artifacts and metadata using DynamoDB and S3

2024 - Present

Cloud Risk & Governance Analyst (AWS) — H3Africa (Remote)

Don't discloseDocumentDocumentText SummarizationText Summarization

Analyzed and summarized security findings to generate governance and risk insights for audit and remediation workflows. Applied AI-assisted summarization concepts to turn complex IAM and Security Hub outputs into clear, actionable guidance for stakeholders. Supported executive compliance reporting by structuring outputs for cross-functional consumption. • Used AI-assisted risk summarization and remediation guidance generation workflows • Produced executive compliance reporting outputs from security findings • Documented and validated audit-ready evidence for governance processes • Supported mapping of cloud findings to compliance controls for clear remediation next steps

2023 - 2025

Education

P

Per Scholas

Master of Science, Computer Science

Master of Science
2026
A

Addis Ababa University

Bachelor of Science, Computer and Information Science

Bachelor of Science
Not specified

Work History

H

H3Africa

Cloud Risk and Governance Analyst

Seattle
2023 - 2025
H

H3Africa

GRC and IT Risk Analyst

Seattle
2019 - 2023