Microsoft 365 Specialist & AI Prompt Engineer | DataMind Solutions
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M365 Productivity Specialist & Data Annotator, TechLabel Corp (Remote). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Science, University of Nigeria, Nsukka (2021) and Microsoft Certified: Fundamentals, Microsoft (2022). AI-training focus includes data types such as Document, Text, and Medical DICOM and labeling workflows including Evaluation, Rating, and RLHF.
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Supported Microsoft 365 productivity and AI-assisted workflow improvements for enterprise users using prompt-based guidance and evaluation best practices. Helped translate business requirements into structured workflows across Word, Excel, PowerPoint, Outlook, OneNote, and Teams while emphasizing quality assurance and privacy compliance. Collaborated with stakeholders and internal teams to improve repeatable outcomes and reduce common workflow issues over time. • Provided specialist support for M365 feature adoption and responsible AI usage • Built and maintained documentation and session/report logs for reproducibility • Assisted with workflow optimization and validation of training materials • Partnered cross-functionally to identify gaps and recommend iterative improvements
Developed and iterated on prompt and evaluation workflows to support machine learning training and feedback loops across the Microsoft 365 suite. Performed artifact evaluation and rating of model outputs, identifying failure patterns and generating insights for model fine-tuning. Ensured annotation workflows met organizational data privacy and data governance standards. • Designed, tested, and iterated on 200+ prompts for M365 applications to improve response accuracy • Conducted artifact evaluation and QA with a target pass rate above 97% • Provided weekly trend reports to senior researchers to inform targeted fine-tuning • Authored internal annotation guidelines and onboarding materials for new specialists
Labeled and evaluated Microsoft 365–related AI artifacts using structured QA rubrics across multiple quality dimensions, ensuring high accuracy and consistency. Annotated model-generated documents at scale and validated outputs for attributes such as tone, factuality, completeness, and compliance. Maintained documentation and participated in QA processes to support iterative improvement of AI workflows. • Evaluated 500+ model-generated documents per month using predefined rubrics • Annotated across 16 quality dimensions (e.g., factual accuracy, formatting fidelity, contextual relevance, safety) • Maintained audit-ready prompt modification logs and evaluation documentation • Reduced annotation error rates by 22% by collaborating on validation checklists
Provided AI-enabled workflow training and prompt best-practice instruction for corporate clients to support responsible use of Microsoft 365 capabilities. Created structured training documentation and templates aligned to client learning outcomes and business contexts. Delivered sessions that included guiding users to generate effective prompts and apply recommended workflows. • Delivered Microsoft 365 training across Word, Excel, PowerPoint, Teams, and OneNote • Developed how-to guides, workflow templates, and session logs for measurable learning outcomes • Customized instruction for diverse skill levels and business contexts • Introduced emerging AI-assisted features with structured prompts and best-practice guidance
Professional Certificate, Data Privacy Foundations
Professional Certificate, Artificial Intelligence Prompt Engineering for Enterprise Applications
Microsoft 365 Productivity Specialist
M365 Productivity Specialist