Designing Intelligent Learning Systems with AI
My approach to AI is rooted in strategy, not speed. I focus on using AI to create more relevant, adaptive, and scalable learning experiences—while transforming how teams operate behind the scenes.
This perspective was shaped during my time at Dataiku, where I partnered closely with data scientists and developed a deep understanding of the AI ecosystem. There, I built my first AI-powered dashboard to visualize learning impact and user behavior, enabling real-time insights, stronger storytelling for leadership, and a closer connection to learner needs. More importantly, this experience fundamentally shifted how I approach problem-solving—using AI not as a productivity tool, but as a way to design smarter systems, uncover insights, and better serve diverse audiences.
AI Strategy & Design Principles
Designing for Relevance, Not Just Efficiency
I use AI to create personalized, audience-aware learning experiences that feel contextual and actionable, moving beyond one-size-fits-all design.
Supporting Better Decision-Making
I design AI solutions that enhance human judgment—supporting better, more informed decisions rather than replacing the human element.
Building Systems That Scale
I focus on creating repeatable, intelligent frameworks that evolve over time, enabling consistency, adaptability, and long-term impact.
Using Data as a Continuous Feedback Loop
I leverage data and AI-driven insights to continuously refine learning experiences, ensuring they remain effective, aligned, and responsive to user needs.
AI in Practice
Dynamic Product Intelligence & Change Tracking
To keep pace with frequent product updates, I built an AI agent that tracks weekly changes across product launches—including naming, tiering, and timeline shifts—ensuring learning content remains continuously aligned with the latest product information.
Impact:
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Achieved 100% execution of product launch training for 2025 priorities
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Eliminated gaps between product updates and learning content
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Strengthened alignment between business strategy and enablement
AI-Driven Skills & Taxonomy Framework
I designed a scalable skills and competency framework with 40+ skills across sales, partner, and advertiser audiences. Leveraging AI, the system automatically maps learning content to core skills and dynamically updates the course catalog.
Impact:
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Established a future-ready foundation for AI-powered and adaptive learning ecosystems
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Enabled scalable content organization and discovery
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Strengthened alignment between learning experiences and business capabilities
AI-Enhanced Learning Experiences
I leverage AI tools to design consistent, high-quality learning experiences that scale across global audiences. This includes AI-generated video and content solutions that improve accessibility, clarity, and engagement.
Impact:
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Increased consistency across learning assets
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Enabled scalable content creation while maintaining quality
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Improved accessibility for diverse learner audiences
AI Ecosystem
A simplified view of how I design AI-enabled learning ecosystems—connecting content, systems, and data to drive continuous improvement and business impact.
