Founder & CEO @ FIM Labs ยท MS AI ยท Enterprise AI Agents & Document Intelligence ยท China ร Global
Building cognitive architectures that give LLMs better memory than mine ๐ง
class TaoAn:
def __init__(self):
self.location = "Singapore ร Beijing"
self.company = "FIM Labs"
self.role = "Founder & CEO"
self.education = "MS in Artificial Intelligence, Hawaii Pacific University (2026)"
self.interests = ["RAG", "LLM Memory Architectures", "Knowledge Graphs", "Agentic Workflows"]
self.current_focus = "Enterprise AI agents & document intelligence across the China ร Global boundary"
self.belief = "Most 'AI agents' should be workflows โ fix the plumbing before buying a bigger pump."
def say_hi(self):
print("Thanks for dropping by! Let's build something cool together.")
me = TaoAn()
me.say_hi()
| Project | What it is |
|---|---|
| CogCanvas | Training-free long-term memory for LLM conversations โ extracts verbatim-grounded artifacts into a queryable graph. 32.4% on LoCoMo (+7.8pp vs RAG). |
| nano-spec | Spec-driven thinking, nano-sized docs โ minimal-but-sufficient specs that AI coding assistants can act on reliably. โญ 45+ |
| FIM One | Open-source AI agent platform that embeds as a Copilot or connects systems as a Hub โ bridging global SaaS with the China enterprise stack. |
