Sharp
He picks things up fast, connects fields that have nothing to do with each other, and gets bored when the pace drags.
Hanoi, Vietnam
Quang
Learning through life, building with AI.
13 years old. Seven years of mainstream school, then a full year of learning by doing: maths and languages in the morning, artificial intelligence and company work in the afternoon, sport in the evening. Six countries in twelve months. English good enough that he already teaches it to others.
13years oldborn 19 November 2012
3languagesVietnamese, English, French
6countries in one yearacross Asia, fully immersed
3regular sportsseveral evenings a week
1.72metres talltall for his age
Who he is
A quick mind and steady energy
Quang goes straight up to people. He asks questions, he can hold a conversation with an adult as easily as with a classmate, and he learns mainly because he finds it interesting.
Curious
His general knowledge is entirely his own doing: documentaries, reading, videos, conversations. Nobody made him do any of it.
Sociable
Relaxed and self-assured, he joins a group easily and quickly finds his place in it.
Energetic
Three sports a week, long days, and still something left at the end of them for a project or a game.
Strategic
He works out the rules of a system before he plays. The habit comes from video games; it serves him everywhere else.
Direct
He says what he thinks, he questions decisions, and he takes an explanation far better than an order.
His journey
Seven years of school, then a year in the field
A deliberate choice by his parents: fall behind on nothing in the school curriculum, and put lived experience at the centre of learning.
- 2012
Born in Hanoi
19 November 2012.
- 2018 - 2025
Sentia School, Hanoi
Seven years of mainstream schooling, from Year 1 to Year 7. A stable and complete foundation.
End of grade 7, certificate ceremony at Sentia School - 2025
Choosing a tailor-made path
Leaving the standard school track for a programme built by his parents, with one aim: to be at his best in the age of artificial intelligence, without falling behind academically.
- 2025 - 2026
A year of learning by doing
Academic mornings, afternoons in a company and on projects, evenings of sport. Six Asian countries discovered from the inside.
- 2026
Bringing the group back
The year delivered on the academic side and on the practical side. One thing was missing: people his own age, every day. That is the priority for the year ahead.
- Next
A hybrid arrangement
A full member of the class in the morning, sitting every assessment; projects, company work and sport in the afternoon. The best of both worlds, rather than a compromise between them.
What he knows
Three priorities, one foundation, one direction
The programme is not a list of subjects to tick off. Three priorities carry most of the weight, the sciences keep the level up, and everything points towards using artificial intelligence well.
Mathematics
The foundation of reasoning and abstraction. The subject he works on most, the one that costs him the most effort, and the one that opens up all the others.
Expression and language
Speaking well, writing well, reasoning well. Expression is the visible trace of thought, and it is how you direct an artificial intelligence.
English
Already solid, with excellence as the target. It is the language of technology and research, and the one he teaches to other young people.
Sciences
Physics, chemistry, biology, natural sciences. Studied seriously so that he stays level with a normal school curriculum, with nothing left behind.
Computing and AI
Programming, AI tools, real projects run inside a professional team. The theory of the morning becomes a product in the afternoon.
General knowledge
History, geography, current affairs, humanities. Clearly above his age group, picked up on his own, out of curiosity.
How he learns
He learns fast when he understands why
Quang does not learn well under pressure, and learns very well when something interests him or is useful to him. His programme is built on that fact rather than against it.
AI First
Faced with a problem, the first reflex is: how can AI help me do this better, or faster? AI is an instrument he steers, never an oracle that hands over the answer.
AI as a debugger
He sets up his assistant himself so that it never gives the solution, but points to the first step where the reasoning breaks. A mistake becomes a bug to fix, not a failure to pay for.
A map, not a list
The programme is laid out as a skill tree he draws himself. Progress becomes visible, and every node he unlocks opens up others.
Build it to understand it
Every concept goes into making something real: the path of a projectile, a probability system, a first artificial neuron. The maths of the morning and the projects of the afternoon stop being two separate worlds.
Feedback straight away
He improves with immediate feedback, the way he does in sport with a coach. Feedback that arrives three days later does almost nothing for him.
Teach it to master it
What he can explain to someone else, he genuinely knows. It is the best test of depth, and he applies it to English.
A typical day
Morning
Academic
Mathematics, expression, English, sciences. The core of the programme, every day.
Afternoon
Hands-on
Computing and AI projects, work in a company, projects that help other people, discovering the world.
Evening
Sport
Badminton, kickboxing, swimming. Several supervised sessions a week.
His feel for language
Three languages, one standard
For him, language is not one subject among others. It is the tool you use to think, to persuade, to teach, and now to direct an artificial intelligence.
Vietnamese
Mother tongueThe language of daily life, of school and of the wider family.
English
Very strong, aiming for nativeHe reads, watches and talks in English for pleasure. He teaches it to young people his own age, which is the best measure of how well he really knows it.
French
Family languageThe language of home and of conversations with his parents, improving all the time.
Talking to an adult as an equal
He can hold a discussion on a complex subject without hiding behind his age, and without needless jargon.
Language as a command
A precise instruction gets a good result from AI, a vague one gets nothing. Writing well has become a technical skill.
Explaining things simply
He can rephrase a complicated idea for someone meeting it for the first time. That is what makes him a good English teacher at 13.
What he teaches
At 13, he is already on the other side of the desk
Teaching was never part of the plan. It happened because he could do it, and because he enjoys it.
English, to people his own age
Lessons and conversation sessions for teenagers. He corrects pronunciation, unlocks spoken English and gives confidence to those who do not dare to speak.
AI and the tools, to anyone interested
How to phrase a request to an assistant, how to check what it answers, how to use it to learn faster rather than to cheat.
Games, taken apart
What makes a game gripping: probability, balancing, progression, reward. An effective way into mathematics for teenagers who find the standard lesson dull.
What he can explain, he really knows.
His activities
The body, the team, the real world
Sport is not a hobby in his programme: it is where he learned consistency, effort and respect for a framework. Working in a company, for its part, taught him what a job actually means.
Badminton
At a club, several times a week. Speed, precision, reading the opponent's game.
Swimming
Endurance and technique, all year round. The most complete sport in his programme.
Working in a company
Regular immersion in a team that builds artificial intelligence products. Meetings, real tasks, real deliverables, at 13.
Kickboxing
A demanding discipline: core strength, cardio, self-control. It teaches you to take a hit and to hold your ground.
Computing and AI projects
Projects run from end to end, from the initial need to something that actually works. Right now, an AI-driven livestream project.
Projects that help
Helping people, being useful, contributing. Part of the programme is set aside for work that pays nothing but meaning. Time spent with his grandparents is part of it.
His travels
Six countries in a single year
Trips designed as formative experiences rather than holidays: languages, transport, meals, people, and ways of doing things that are not his own.
China
High-speed trains, the sheer scale of the cities.
Japan
Mount Fuji, collective discipline, attention to detail.
Thailand
The street, the heat, making do.
Indonesia
The archipelago, the nature, another side of Asia.
Singapore
The laboratory city, order and technology.
Malaysia
Kuala Lumpur, a plural Asia, several languages in the same street.
Strengths and works in progress
What he does very well, and what he is still working on
An honest profile is worth more than a perfect one. Here are both columns, as they stand today.
His strengths
Speed of understanding
He grasps a new idea in very little time, and gets bored quickly if the pace does not keep up.
General knowledge
Clearly above his age group, built on his own, out of pure curiosity.
English
Solid enough that he teaches it to other young people.
Social ease
He joins a group, talks to adults, presents and explains without freezing up.
Physical stamina
Three regular sports, and energy that does not fade by the end of the day.
Learning alone out of curiosity
When a subject grabs him, he goes very deep, very fast, with nobody pushing him.
What he is still building
Working alone, without structure
With a coach, a team or an adult nearby, he gives his best. On his own in front of a long task, he drifts. Independence is being built; it is not there yet.
Effort with no reward in sight
Anything without a visible result straight away costs him. Mathematics is the real work in progress this year.
Video games
A genuine passion that easily takes over study time. It is treated as ground to make use of, not as an enemy to ban.
Consistency
He works in bursts rather than steadily. Keeping going over the long run is still something he is learning.
Few people his own age
A year surrounded by adults taught him a great deal, but cut him off from his own generation. It is what he misses most, and the priority for the year ahead.
Contact
Schools, companies, mentors, people his own age
This site is run by his parents. For a meeting, a project, a class, a club or a placement, the simplest thing is to write.
Quang is a minor. All contact goes through his parents.