Fractional & AI-native CTO
for EdTech.
I've run product and engineering for an online learning platform. I know where EdTech breaks, and how AI changes the classroom, the content pipeline, and the cost structure.
The hard parts are predictable.
I've lived most of these from inside the platform.
Enrollment-spike scale
Traffic isn't flat, it spikes with enrollment windows and term starts. The system has to hold up on the day that matters most, then not bankrupt you the rest of the term.
Content & curriculum pipelines
Authoring, versioning, and shipping curriculum at scale is its own engineering problem, and it's usually the one nobody resourced properly.
Learner-data privacy
Student data carries real obligations (FERPA, COPPA where relevant). Privacy has to be designed in, not retrofitted before an enterprise or district deal.
AI without harming outcomes
AI tutoring and grading can help or quietly erode learning. The hard part is using it where it lifts outcomes and keeping a human accountable where it counts.
Operator experience, applied.
Build the team & roadmap
Set technology direction for the platform, hire the engineering and product people, and protect a roadmap that survives term cycles.
AI-native learning
Rework the content pipeline and the product so AI is the default, tutoring, generation, grading support, with learning outcomes and privacy protected.
Scale & privacy
Architecture that absorbs enrollment spikes economically, and a privacy posture that passes district and enterprise diligence.
What EdTech founders ask.
Do you have EdTech operating experience?
Yes, I served as Chief Product & Technology Officer of an online learning platform, running product, engineering and AI-native transformation. This isn't industry I read about; it's industry I've operated in.
How can AI help an EdTech product without harming learning outcomes?
By using AI where it genuinely lifts outcomes, personalization, tutoring support, faster content production, grading assistance, while keeping a human accountable for anything that affects a learner's progress, and measuring outcomes rather than assuming the AI helped. The goal is leverage on learning, not automation for its own sake.
Can you handle student-data privacy?
Yes. Learner data carries real obligations (FERPA and COPPA where they apply), and privacy has to be designed into the architecture rather than bolted on before a district or enterprise deal. I've delivered SOC 2 and HIPAA-grade programs in adjacent regulated spaces and apply the same discipline here.
Building in EdTech?
If your platform is straining at the seams, or you want it AI-native before your competitors do, let's talk.