ChiChieh HuangFOUNDER · AI ENGINEER
ChiChieh Huang ▲ SURVEYOR
About · The surveyor

I’m ChiChieh Huang, a founder and AI engineer in Taipei.

I build products where people and AI agents work from the same memory. Right now that’s Cairn, shared memory for people and agents. It started at Anthropic’s global hackathon, where I was one of 500 builders selected from more than 20,000 applicants and built the first version solo in six days.

Before Cairn I built AILogora, a Chinese-first community where AI practitioners share and argue about viewpoints. It went through AppWorks Accelerator #31, and its weekly digest now reaches nearly 4,000 subscribers.

I started writing about generative AI in Chinese in late 2023, when I noticed how little good material existed. 92 essays later, the topics have moved from RAG and LLM evaluation to agents and agent memory. In 2026 I also gave 27 talks, workshops and corporate trainings, including AWS Summit Taipei, WiDS Taiwan and the Taiwan AI Annual Conference.

I trained in statistics, which turns out to matter for building AI products far more than I expected.

Building
Focus
  • LanguageLLM applications, RAG and its evaluation, AI agent systems, agent memory
  • SpeechText-to-speech, speech recognition, Chinese voice cloning
  • Visual2D/3D avatars, text-to-image, text-to-motion
Recognition
  • 2026Selected for Anthropic’s global hackathon
  • 2024Top 100, NVIDIA × LangChain Generative AI Agents Developer Contest
  • AppWorks Accelerator #31
  • 20191st place, 2019 AI Rising Star Competition (EVA Air track)
  • 202625+ talks, workshops and corporate trainings in 2026
Talks & press
27 talks in 2026, including AWS Summit Taipei, WiDS Taiwan and the Taiwan AI Annual Conference. Featured in Business Weekly, USTV News, PTS (Taiwan Public Television). Topics and booking →
Writing
92 essays on generative AI, written in Traditional Chinese and translated into English. Read them in English →
Work with me
Talks, workshops, corporate training, GenAI advisory, career advice
Contact
[email protected]
Elsewhere
GitHubLinkedInAILogoraRSS
You can overcome anything, if and only if you love something enough.