AI Workflow & Evaluation
Workflow design and requirement framing
- Prompt and instruction structure
- AI-assisted prototyping and review
- Output evaluation and consistency testing
- Knowledge organization and maintenance planning
AI WORKFLOW DESIGN · QUALITY ASSURANCE
HO MINH NHAT DUY
AI Workflow Design · Quality Assurance · Marketing Operations
I turn structured requirements, quality thinking, and operational discipline into maintainable workflows, clearer systems, and practical AI-assisted solutions.
My background combines language, engineering, quality systems, and marketing operations. That combination now shapes how I approach applied AI and workflow design.
I translate complex requirements into clear workflows, practical quality checks, and maintainable operating systems.
Workflow design and requirement framing
QA/QC thinking and acceptance criteria
Lead generation and campaign operations
Marketing operations and lead-processing support for an insurance-data environment serving three call centers.
Large lead volumes required filtering, validation, and clearer operating control before handoff to call-center teams.
Defined workflow logic, data-quality checks, operating rules, and feedback loops. Coordinated requirements and evaluated process effectiveness.
Structured lead intake, created validation logic for missing or incorrect records, and supported reporting visibility for downstream users.
Record completeness, obvious invalid values, duplicate-risk review, and monthly feedback from call-center outcomes.
Supported a maintainable operating flow for high-volume lead handling and clearer data quality oversight.
Marketing operations and lead-processing support for an insurance-data environment serving three call centers.
Large lead volumes required filtering, validation, and clearer operating control before handoff to call-center teams.
Supported a maintainable operating flow for high-volume lead handling and clearer data quality oversight.
Defined workflow logic, data-quality checks, operating rules, and feedback loops. Coordinated requirements and evaluated process effectiveness.
Structured lead intake, created validation logic for missing or incorrect records, and supported reporting visibility for downstream users.
Record completeness, obvious invalid values, duplicate-risk review, and monthly feedback from call-center outcomes.
Multi-brand digital-marketing and content operations work for Korean brands expanding into Vietnam.
Campaign execution required coordination across content, brand consistency, reporting, e-commerce visibility, and local-market adaptation.
Coordinated campaign operations, content planning, creative briefing, and performance review. Translated business goals into practical local execution.
Managed creative direction, reviewed campaign assets, tracked advertising performance, and maintained consistency across touchpoints.
Brand-fit review, asset quality review, platform appropriateness, and post-campaign performance evaluation.
Delivered more structured local execution and clearer operational control across multiple brand activities.
Multi-brand digital-marketing and content operations work for Korean brands expanding into Vietnam.
Campaign execution required coordination across content, brand consistency, reporting, e-commerce visibility, and local-market adaptation.
Delivered more structured local execution and clearer operational control across multiple brand activities.
Coordinated campaign operations, content planning, creative briefing, and performance review. Translated business goals into practical local execution.
Managed creative direction, reviewed campaign assets, tracked advertising performance, and maintained consistency across touchpoints.
Brand-fit review, asset quality review, platform appropriateness, and post-campaign performance evaluation.
Operational flow involving website presence, user registration, and voucher-related follow-up.
Users needed a cleaner registration experience and the business needed a more trackable follow-up process across site, form, and reward handling.
Defined operational requirements, coordinated structure and handoff points, and reviewed the process for clarity and maintainability.
Connected website/landing content, registration form flow, and reward messaging into a more understandable end-to-end path.
Form completeness, handoff clarity, message consistency, and basic status tracking for downstream fulfillment.
Improved operational clarity between acquisition, registration, and follow-up reward handling.
Operational flow involving website presence, user registration, and voucher-related follow-up.
Users needed a cleaner registration experience and the business needed a more trackable follow-up process across site, form, and reward handling.
Improved operational clarity between acquisition, registration, and follow-up reward handling.
Defined operational requirements, coordinated structure and handoff points, and reviewed the process for clarity and maintainability.
Connected website/landing content, registration form flow, and reward messaging into a more understandable end-to-end path.
Form completeness, handoff clarity, message consistency, and basic status tracking for downstream fulfillment.
No approved project screenshot is supplied.
Independent applied-AI exploration since 2024, focused on practical workflows, requirement definition, testing, and maintenance logic.
Many AI outputs look impressive but fail in consistency, structure, or real operational usefulness.
Defined requirements, created testing logic, evaluated outputs, and iterated through structured feedback. I did not directly build full software systems from scratch.
Designed workflow structures, organized instructions and knowledge, tested failure modes, and refined outputs toward more reliable use.
Instruction-following, consistency, edge-case behavior, clarity, and maintainability.
Built a reusable way to assess and improve AI-assisted solutions for practical work contexts.
Independent applied-AI exploration since 2024, focused on practical workflows, requirement definition, testing, and maintenance logic.
Many AI outputs look impressive but fail in consistency, structure, or real operational usefulness.
Built a reusable way to assess and improve AI-assisted solutions for practical work contexts.
Defined requirements, created testing logic, evaluated outputs, and iterated through structured feedback. I did not directly build full software systems from scratch.
Designed workflow structures, organized instructions and knowledge, tested failure modes, and refined outputs toward more reliable use.
Instruction-following, consistency, edge-case behavior, clarity, and maintainability.
Requirement definition, workflow design, AI-assisted prototyping review, testing, and documentation.
Coordinated campaigns, content, reporting, and execution for brands entering or expanding in Vietnam.
Brought systems thinking, process analysis, and QA/QC discipline into operational and marketing work.
Industrial Systems Engineering
Literature specialization
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