HUNGLAB / APPLIED AI & ENGINEERING

Intelligence,engineered.

Building practical systems that connect AI, developer tools, and engineering workflows — with human judgment and verification at the center.

FOCUSED ON REPRODUCIBLE TECHNICAL WORKSCROLL TO EXPLORE
Selected open-source work / PUBLIC REPOSITORIES

Useful tools.
Visible evidence.

Three public repositories document our products and their current maturity. Follow each source link to verify what exists today.

PROJECT / 001 — LEARNING & EDUCATION

NTL6
Open Learning.

A privacy-conscious, parent-guided learning prototype. It records structured learning evidence, distinguishes independent work from assisted practice, and produces a parent-facing report from synthetic examples.

NODE.JSEDUCATION SKILLSSYNTHETIC DEMO
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PROJECT / 002 — REUSABLE ENGINEERING WORKFLOWS

ReuseForge
Standalone.

A packaged workflow suite for examining technical needs through reusable capabilities, candidate assessment, and structured architecture choices.

WORKFLOW DESIGNCAPABILITY-FIRSTREUSE EVALUATION
Explore public release bundle
PROJECT / 003 — RESEARCH WORKFLOWS

Thesis Research
Workflow.

Evidence-first research lifecycle documentation, including source audit, versioned references, scientific-debug boundaries, and human review before knowledge changes. This public release is documentation and fictional examples only.

RESEARCH PROTOCOLHUMAN REVIEWDOCS PREVIEW
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PUBLIC EVIDENCE

Our public projects include reusable workflows and third-party components where appropriate. Each repository documents its scope and limitations. Upstream credits and licenses remain with their original authors; a public repository is not proof of production deployment.

THE OPERATING PRINCIPLE

Less magic.
More method.

For technical work, an impressive demo is only the beginning. The useful part is whether the workflow can be understood, repeated, and checked.

01

Make the problem precise.

Start with capabilities, constraints, and a testable definition of success — rather than a tool-first solution.

02

Use the right building blocks.

Evaluate the tools that already exist, combine them responsibly, and record what is inherited versus custom.

03

Verify before claiming.

Use repeatable checks and human review. Keep prototypes, measured results, and production readiness clearly distinct.

A design philosophy, not a claim of third-party certification or deployment maturity.

FOUNDER / INDEPENDENT INITIATIVE

Built at the intersection of engineering and AI.

HungLab is a founder-led engineering initiative by Nguyễn Văn Hùng, focused on practical AI tools, experimental workflows, and applied engineering research. HungLab is based in Vietnam and is presently a pre-incorporation, founder-led initiative. These are developing products and open-source research; this portfolio does not claim outside funding or commercial traction.

FounderNguyễn Văn Hùng
RESEARCH / PRODUCT / COLLABORATION

Good systems start with good questions.

founder@hunglab.xyz
INDEPENDENT APPLIED AI & ENGINEERINGHungLab.© 2026 HUNGLAB