Building personalized learning with generative AI.
An independent AI-powered learning platform using generative AI to produce personalized educational content.
Independent project described in the supplied CV. Identity and URLs are private; user and learning-outcome metrics are not claimed.
Learners looking for educational explanations adapted to their learning needs.
Developed the learning platform and its generative-AI content capability as an independent product project.
Generic educational material cannot always match an individual learner’s topic, context, and preferred explanation.
Applied generative AI to personalized educational content.
Connected the learning proposition with hands-on product implementation.
Use the project to explore the relationship between content generation and useful learning experiences.
Start with the learner’s need
Frame AI-generated content around a learning goal rather than the ability to generate more text.
Treat quality as a product requirement
Clarity, correctness, and relevance are the criteria for evaluating the experience.
Build to understand the constraints
Hands-on implementation connects product choices with the practical limits of generative AI.
Personalization offers flexibility, while educational content still needs accuracy and a clear learning purpose.
Useful evaluation measures would include content correctness, explanation clarity, and whether learners can apply what they learned. These are evaluation priorities, not reported results.
The product signals behind the result.
- AI product development
- Learning experience design
- Zero-to-one building
- Product and engineering fluency
“Generated content is a capability. Helping someone understand a subject is the product goal.”