I design learning systems at the intersection of education, technology, and AI. My work focuses on building scalable, measurable learning ecosystems that connect experience design, curriculum architecture, assessment, and analytics to real performance outcomes. I’m most interested in how learning becomes infrastructure—something organizations rely on, not just consume.
My background spans instructional design, product enablement, LMS administration, AI-driven learning workflows, and enterprise systems like Salesforce. Over time, my work evolved from building courses to architecting the systems behind them: the platforms, data models, analytics pipelines, and experience frameworks that make learning scalable, adaptive, and provably effective.
I specialize in turning complex environments into coherent learning systems—where platforms integrate cleanly, learning science guides design, assessments validate competence, and analytics show impact.
I approach learning design as systems design:
Learning platforms are orchestration layers
AI is a performance amplifier
Curriculum is architecture, not content
Assessment is validation, not completion
Analytics is decision support, not reporting
My goal is always to design learning that behaves like a product: measurable, iterative, and aligned to real-world performance.
What differentiates my work is the ability to bridge multiple worlds:
Education and enterprise systems
Learning science and AI workflows
UX design and analytics modeling
Strategy and implementation
That perspective allows me to design learning ecosystems that are both human-centered and technically rigorous.
I’m driven by the idea that learning should be a strategic capability, not an afterthought. When learning systems are designed intentionally, they don’t just support people—they transform how organizations operate, adapt, and grow.
That’s the kind of work I want to do: build systems that make learning visible, measurable, and indispensable.
Outside of work, I enjoy projects that mix creativity, problem-solving, and exploration—whether that’s building new systems, refining existing ones, or continuously learning in new domains. That curiosity shows up in how I design: iterative, reflective, and always looking for better structures.