I help edtech teams and curriculum organizations turn static instructional content into AI-ready, standards-aware systems.
Services
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I evaluate curriculum assets, content structures, and metadata to identify how static instructional materials can become searchable, structured, and AI-ready. You’ll receive a practical roadmap for improving content usability, consistency, and readiness for modern learning systems.
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I design AI-supported workflows that streamline standards alignment and adoption review. This service helps teams move from slow manual review toward a more scalable process for identifying gaps, risks, and quality issues with greater speed and consistency.
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I transform PDFs, lesson files, and instructional assets into structured data that can power AI products, retrieval systems, search, and content generation workflows. The result is cleaner, more usable educational content that no longer lives trapped inside static files.
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I prototype AI-powered tools that reduce teacher planning time and simplify high-friction instructional workflows. Each sprint is grounded in real classroom needs and designed to produce a practical concept or MVP that educators can actually use.
Why work with me.
About
Hi, I’m Evelyn. I’m an AI Learning Engineer specializing in curriculum systems, instructional data, and education-focused product design.
I work at the intersection of machine learning, instructional design, and user experience to help edtech teams build the right systems the first time. Most ML engineers aren’t trained in education, and most educators aren’t trained in machine learning. I’m fluent in both.
I turn static curriculum, fragmented assets, and messy metadata into structured, standards-aware, AI-ready systems that power intelligent products, faster reviews, and better learning experiences.
That includes designing knowledge graphs and alignment frameworks that map content to standards from the start—not as an afterthought—so teams can accelerate product development, streamline review cycles, and walk into RFPs with clear, defensible alignment.
I don’t just make your content usable for AI—I make it defensible, scalable, and sellable.
Trusted by edtech teams to design AI-ready curriculum systems and alignment frameworks.
Why teams trust me
- 16+ years in education, curriculum, and instructional design
- AI Content & Innovation Specialist at Carnegie Learning
- Chair, Generative AI Rubric/Data Taskforce, 1EdTech
- AWS Certified Machine Learning Engineer, AI Practitioner, and Google UX Certified
- Published in Edutopia and Language Magazine
- Ph.D. in Spanish Language & Visual Culture
Selected Work
- Designed AI-supported workflows for curriculum and language learning
- Built standards-aware digital curriculum systems used for alignment, review, and product development
- Converted static instructional content into structured, reusable formats for AI applications
- Prototyped teacher-facing AI tools grounded in real classroom workflows and constraints