Democratizing AI to foster social development.
Building tools that turn non-technical people into AI orchestrators — no code, no friction.
- 1.AI adoption infrastructure for the people it hasn't reached yet.
- 2.End-to-end AI engineering — from research to production systems.
- 3.Proven delivery at startup scale, NASA, and policy institutions.
Hi, I'm Juanse.
I'm a builder at heart. Whether it's code, teams, or educational systems, I love the process of turning abstract ideas into tangible reality.
Democratizing AI access and adoption to foster social development.
Most people aren't behind on AI because they lack interest — they lack tools that meet them where they are. I'm building infrastructure that turns non-technical users into orchestrators of AI agents, without writing a single line of code.
- ▹AI agent skills anyone can create conversationally and share as easily as a Drive folder
- ▹A pedagogical layer that teaches as it builds — adoption through understanding, not just automation
- ▹Designed for the people AI hasn't reached yet — reducing friction where it matters most
Working on AI adoption, agent infrastructure, or education? I'd love to connect.
Adoption Over Access
The bottleneck isn't that AI exists — it's that most people can't use it. Real impact starts when tools meet users where they are.
Teach as You Build
The best tools don't just automate — they build understanding. A pedagogical layer turns users into orchestrators, not dependents.
AI as Equalizer
When non-technical people can create and share AI agents, innovation stops being a privilege and starts compounding everywhere.
Selected Highlights
Towards Accessible AI Tutors
Problem: AI tutors optimize engagement, not learning.
Built: an evaluation framework focused on accessibility and learning outcomes.
Outcome: a clearer benchmark for tutors in under-resourced settings.
End-to-End AI Systems
Problem: scaling AI products under real client constraints.
Built: data infrastructure, MLOps pipelines, and customer-facing analytics.
Outcome: 10x growth in data storage and award-winning client support.
Navigation Assistance Capstone
Problem: reliable lunar navigation under tight constraints.
Built: moon crater detection for navigation assistance.
Outcome: NASA capstone collaboration (2024).
Policy & Education Impact
Problem: aligning AI in education with real policy constraints.
Built: regulatory frameworks for educational AI tools.
Outcome: MIT Policy Hackathon participant.
Let's chat.
I love talking to builders and enablers working on the future of learning and complex systems.
Let's Chat