Learning materials, career roadmaps, and AI-assisted evaluation systems — designed for real learner contexts, not generic templates.
Every audience carries its own limits, its own vocabulary, and its own reasons to keep reading.
I design AI-assisted learning materials, career roadmaps, and evaluation systems for real audiences — students, career-starters, self-directed learners.
AI accelerates research, drafting, and iteration. Human judgment carries the parts that matter: audience fit, factual accuracy, cognitive load, visual hierarchy, and whether the material actually gets used.
My work sits between content strategy, information architecture, and visual delivery — grounded in a decade of engineering-grade documentation discipline from network operations and industrial fieldwork.
AI accelerates production. Human judgment controls quality.
Identify the user, the context, the objective, and the constraints.
Convert goals into scope, requirements, and success criteria.
Organize information into modules, stages, and hierarchies.
Use AI to explore, draft, compare, and accelerate production.
Review accuracy, clarity, relevance, and audience fit.
Revise prompts, structure, language, and visual presentation.
Publish as a responsive, standalone, audience-ready resource.
Learning systems, career roadmaps, and assessment design — grounded in audience realities.
A structured four-year competency and career-development pathway toward Executive Virtual Assistant readiness for Indonesian undergraduate students. Modules span office productivity, business English, professional communication, and AI-assisted workflows — with weekly workload calibrated to real study time.
Structured modules across mathematics, English, science, and Arabic for middle-school learners — with subject-specific visual systems, cognitive-load-aware layout, and iterative assessment of AI-generated instructional content.
A 100-question standalone HTML placement test spanning CEFR A1–B2. Includes a two-layer scoring algorithm mapping raw performance to level classification, printable certificate output, and question data validated through automated integrity checks.
Open to opportunities in AI response evaluation, content quality analysis, Indonesian-language projects, curriculum development, and structured digital content.