Build Your Own X: Learning by Rebuilding the Tools We Use
A personal reflection on the Build Your Own X repository, why rebuilding real technologies from scratch is such a powerful way to learn programming, AI, systems, and web engineering.

AI, data, and service improvement from Darwin.
Notes, projects, lessons, and field reports from my work in AI, data, web systems, and personal tools.
6 posts
A personal reflection on the Build Your Own X repository, why rebuilding real technologies from scratch is such a powerful way to learn programming, AI, systems, and web engineering.

A deep technical case study on Anna, my personal AI chatbot for Max Hoang Journal, including the motivation, UX, RAG pipeline, markdown brain, memory layers, admin workflow, safety rules, and lessons learned.

A study note answering common NLP questions about ABSA, tokenisation, Naive Bayes, vector semantics, logistic regression, RAG, fine-tuning, hallucinations, and ethics.

A personal note on persistent agent memory, reusable agent skills, and stealth browser automation as the next layer of practical AI engineering.
VideoI am going to use Excel, Microsoft SQL Server Management Studio, and Power BI to follow a data analyst portfolio project.
VideoA good YouTube series about building an SQL database and connecting it with Power BI to create a full analytics dashboard.
Shorter, standalone notes from the same content database as the blog - knowledge snippets grouped by topic rather than long-form articles.
AGENTS - aihero.dev Use this folder for AIHero course references and course-related learning notes. Publishing Rule All Markdown documents under content/obsidian/aihero.dev should
This is the planning page for my next long trip: Darwin to Sydney, then Canberra, the Snowy Mountains, Melbourne, Adelaide, and back to Darwin. I want this story to grow in public
A study note answering common NLP questions about ABSA, tokenisation, Naive Bayes, vector semantics, logistic regression, RAG, fine-tuning, hallucinations, and ethics.