The Journey

From Classroom
to Codebase.

I am an IELTS coach based in Indonesia who realized that traditional language learning methods were failing students in the modern world. Now, I build AI systems to fix that as an AI EdTech Builder and Prompt Engineer.

Work With Me

Current Status

Exploring the intersection of LLMs and language acquisition.

“Students don't need another list of vocabulary words. They need a safe environment to practice making mistakes until communication becomes natural.”

Core Belief

The foundation of everything I build.

System Prompt:
You are an expert IELTS examiner.
Analyze the following text for:
- Lexical Resource
- Grammatical Range

_

The limits of human scale.

After years of teaching IELTS, I hit a ceiling. I could only review so many essays a day. I could only conduct so many mock speaking tests. My students needed immediate feedback, but my time was finite.

AI and Prompt Engineering.

I discovered Large Language Models and realized they were the key to scaling individualized attention. I didn't start as a traditional software engineer—I started as a prompt engineer. By deeply understanding how to instruct AI through advanced prompt engineering, I learned how to orchestrate comprehensive EdTech systems wrapped around those generative capabilities.

Teaching + AI Manifesto

I believe education is changing.

Not because humans are becoming less important,
but because we finally have tools that can amplify how humans learn, think, and communicate.

For too long, language learning has focused on perfection:
perfect grammar,
perfect answers,
perfect templates,
perfect memorization.

But real communication has never worked that way.

People connect through ideas,
emotion,
clarity,
interaction,
and confidence.

Not perfection.

That is why I believe AI should not replace learning.
AI should expand it.

AI can become:
a conversation partner,
a thinking partner,
a creativity partner,
and a personalized learning companion.

Used correctly, AI allows learners to:
practice more,
experiment more,
receive feedback faster,
and build confidence without fear.

But technology alone is not enough.

Good education still requires:
human understanding,
curiosity,
reflection,
and meaningful interaction.

My goal is not to build systems that make students dependent on AI.

My goal is to build systems that help learners become:
more independent,
more expressive,
more confident,
and more capable of communicating naturally in the real world.

I believe the future of education is not:
Human vs AI.

It is:
Human + AI.

Teachers are no longer only information providers.

We are becoming:
designers of learning experiences,
guides for critical thinking,
and architects of meaningful interaction.

That is the direction I want to explore.

Through teaching,
prompt engineering,
AI-assisted tools,
and experimental learning systems,
I want to help create educational experiences that feel:
more human,
more adaptive,
more practical,
and more alive.

Because language is not about sounding perfect.

Language is about connection.

Core Principles

Rules I follow when designing learning experiences.

Feedback Loop First

Learning doesn't happen during input; it happens during the correction of output. Systems must minimize the time between attempting a skill and receiving actionable feedback.

Cognitive Load Management

Too much information paralyzes learners. Interfaces and AI responses must be minimalist, highlighting exactly what to improve right now, not everything that is wrong.

Authentic Context

Vocabulary and grammar taught in isolation disappear. AI should generate realistic, personalized contexts for every new concept introduced.

From Classroom to Codebase.