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2,200+Members served on a platform I built
35 daysAfter launch I shipped an MCP server
UN CSW 69Spoke at the UN HQ, New York
<1 msAgent activation p50 in production

I build AI software real teams rely on every day — not demos. A minimalist who subtracts until only the idea is left.

What I do

01

Build AI agents that don't fall over.

Software that decides and acts on its own — with safety rules enforced in code, not just hopeful prompts — so it's safe for money and compliance steps.

02

Ship whole products end-to-end.

From database to interface to billing, often solo or as the first engineer — multi-tenant systems that survive big rewrites.

03

Keep AI fast and affordable.

Predictable speed and cost through caching, model routing, and tested failure modes — not hype.

04

Teach it.

I design and run cohort courses on AI-assisted building. My rule of thumb: natural language is the source code.

AI & agents
Claude CodeMCPLangGraphCopilotKitAgent SDKsRAG
Languages
TypeScriptPythonGoJava
Frontend
ReactNext.jsReact NativeTailwind
Backend & infra
Node.jsPostgreSQLDrizzleRedisCloudflareGKEDockerStripe

Selected work

Things I've built

Recognition

UN CSW 69 Speaker

United Nations HQ, New York — presented Sanicle AI; drew IBM pilot interest

Mar 2025

Outstanding Mentor Award

AI Hackathon Festival 2025 — 1 of 14 expert mentors, guided 11 teams (80+ people)

Aug 2025

FemTech Excellence Award

FemTech China — plus UN Women FemTech Hackathon Outstanding Performer

Dec 2024

Master's with Distinction

Master of Applied Computing, Lincoln University NZ — Dean's List, top 5%

Dec 2024

What others say

  • Chan turns ambiguous founder-level direction into working systems and measurable proof — not just code.
    SG

    Saba Gecgil

    Founder & CEO, GAVIGO

  • A solo developer who took on monumental tasks with exceptional technical expertise and problem-solving.
    PA

    Paige Afanu

    CEO, Sanicle

  • A great mix of technical skill and a genuine passion for AI that shows in everything she builds.
    CY

    Cecilia Yin

    Solutions Architect, AWS

  • An outstanding AI/ML infrastructure engineer who brings structure and calm to ambiguity.
    GH

    Gabrielle Hurst

    Product Marketing Manager, Houston Robotics

  • Excellent technical skills and a strong work ethic — she consistently excelled with critical thinking and creativity.
    PA

    Patricia Anthony

    Associate Professor, Lincoln University

  • A PR merged at 12:30am? That's pretty normal for Chan — someone you feel genuinely confident working with.
    LG

    Lesley Gao

    Product Designer & Web Developer, She Sharp

  • Exceptional leadership architecting a full-stack platform — technical innovation paired with practical solutions.
    NC

    Nirmala Chinnappan

    Project Coordinator (ITIL), AUT

  • A rare blend of technical excellence and genuine dedication — she elevates everyone around her.
    YK

    Yesha Kaniyawala

    AI Engineer, Possibl.ai

  • An inspiring mentor whose passion for coding is contagious — patient, supportive, and deeply skilled.
    SQ

    Shushu Qin

    Software Developer, AWS Certified

  • One of the most talented and reliable professionals — responsive, thoughtful, positive in every interaction.
    DH

    Daryll Hall

    Chief AI Officer, Sanicle

  • Deep understanding of AI and an exceptional willingness to learn — pivotal to winning the IBM MVP.
    CC

    Chaste C. Inegbedion

    Program Ops Leader, Sanicle

  • A meticulous, patient teacher — she enhanced my skills and greatly boosted my confidence.
    JW

    Jessie Wan

    Data Analyst, Deloitte

Frequently asked

Who is Chan Meng?

Chan Meng is an AI Agent Architect & Full-stack Engineer based in Auckland, New Zealand. She builds production AI agents and full-stack platforms end-to-end — for paying customers, sensitive health data, and regulated work, not demos — and teaches AI-assisted building. She holds a Master of Applied Computing with Distinction from Lincoln University.

What does Chan Meng build?

She builds AI agents that act safely on their own, with guardrails enforced in code rather than hopeful prompts, and ships whole products from database to interface to billing — often solo or as the first engineer. Recent work includes a Māori-culture AI coach, an AI career agent, and a LangGraph storytelling agent.

What is Chan Meng's tech stack?

Her core stack is AI agents — Claude Code, Model Context Protocol (MCP), LangGraph, CopilotKit, and RAG — with TypeScript, Python, and Go. On the full-stack side she uses React, Next.js, and React Native on the front end, and Node.js, PostgreSQL, Drizzle, Redis, Cloudflare, Docker, and Stripe on the back end.

What are Chan Meng's most notable projects?

She rebuilt She Sharp, New Zealand's largest women-in-tech platform (2,200+ members), roughly 86% solo, and shipped one of the first Google News MCP servers just 35 days after the standard launched. Other flagship builds include Tam-AI-Ti, FanFic Lab, and Vitex — an AI career agent that scores a résumé against a job in under 30 seconds.

Is Chan Meng available for work or collaboration?

Yes. She takes on AI agent and full-stack development, technical consulting, speaking, and mentorship, with a focus on FemTech, cultural technology, and early-stage startups. Reach her at [email protected] or book a 30-minute call at cal.com/chan-meng/30min; she typically responds within 24–48 hours.

Where is Chan Meng based?

Chan Meng is based in Auckland, New Zealand, and works with teams across New Zealand, China, and the remote US. She is bilingual in English and Chinese, and spoke at UN CSW 69 at the United Nations headquarters in New York in March 2025.

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