Who is writing this.
Industrial engineer. Co-founder and CTO at Mozt. Building AI automation from Guatemala for Latin America and beyond. This site is the workshop where I write about the work.
I'm Luis Enrique Ton Liang. Born in Guatemala in 2004. A person of faith first; most of the doors I have walked through I credit to that more than to my own planning. Fourth-year Industrial Engineering at UVG, class of 2027. Co-founder and CTO at Mozt, where we build AI systems for operations across Latin America. Vita, our first vertical, is an AI receptionist for medical clinics.
What ties the work together is a single bet. Industrial engineering's mindset for systems and processes, applied to AI as a substrate for new kinds of products. Operator's instinct over architect's: ship before you over-plan. I delegate precise code to Claude Code and spend my time on architecture, decisions, and verification. One shipped thing beats ten almost-shipped ones. I'm not sure I have it right. I would rather find out by building than by waiting.
This site is the workshop. Posts, project notes, dated entries that future-Luis can read to remember what past-Luis was thinking. Not a sales surface for Mozt. A place worth returning to.


Workshop, classroom, dinner table. The places this work actually happens.
Now
- Currently building
- Mozt. AI systems for operations across Latin America. Vita, our first vertical, is an AI receptionist for medical clinics.
- Currently studying
- Industrial Engineering at UVG, final year. Focus on simulation, optimization, and operations research.
- Currently writing
- The workshop journal. Notes on building with AI, multi-agent simulation, and shipping from LatAm.
- Currently reading
- Anthropic published research, papers on multi-agent reinforcement learning, and Latin American technology history.
Stack
Tools and tech I reach for. Honest defaults, swap when something fits better.
- Claude
- Anthropic SDK
- OpenAI API
- Codex
- Ollama
- OpenClaw
- Manus AI
- Claude Design
- TypeScript
- Python
- Next.js
- React
- Node
- FastAPI
- Supabase
- PostgreSQL
- SIMIO
- O2DES
- Pandas
- R
- RMarkdown
- Tailwind
- Three.js
- Motion
- Vercel
- Docker
- Twilio
- Figma
- Hyperframes
- Video
Background
How I got here. None of it was planned in a straight line. I'm more comfortable saying that out loud than pretending otherwise. The honest version reads like a series of small recommendations, friendships, and rooms I happened to walk into at the right time.
2022
2022
Graduated from school as the world was coming back from the pandemic. Most of the lessons that mattered came from finishing school in a different way than anyone planned for.
2023
2023
Started Industrial Engineering at Universidad del Valle de Guatemala. I picked it without knowing exactly where it would lead, just that I wanted a way of thinking, not only a profession.
2025
2025
A small group of us was recommended by our professors for the Winter Simulation Conference student competition in Seattle. Container port logistics, multi-agent reinforcement learning, second place. I learned more about engineering judgment in those three months than in the year before. Those same friends became my cofounders later that year. Mozt was less a plan and more a meeting that kept happening: an ambition we could not quite set down. So we started building.
Now
Now
Restarted itschijong.com as a publication, not only a portfolio. Dated notes of the work and the thinking, mostly so future-Luis can read past-Luis and remember what was actually going on.
Find me elsewhere
Two places I show up online. Follow either for what I'm building, reading, and thinking about beyond the longer writing here. Email is the best channel for direct conversations.
Luis Enrique Ton Liang • 21 • GTCN
CTO & Builder at MOZT • Guatemala
Building an AI startup from my bedroom...
Whatever isn't writing or work. Mostly Guatemala, mostly the people who got me here. Slow updates, no theatrics.
Industrial engineer applying AI to operational problems in Latin America. Currently writing more than I am posting. Open to honest collaboration.

