I will detect unhappy customers automatically

L
leochanai
L
leochanai
Leo Chan

About this gig

I build automated AI pipelines that turn raw text feedback into structured, actionable insight, without manual triage.


I recently architected a production sentiment analysis system: an n8n workflow that ingests live app reviews, scores each one using a DistilBERT AI model, automatically flags critical issues, and surfaces everything in a live dashboard. Zero manual intervention is required after setup. You can see the full build and live demo linked on my profile.


What I can build for you:

  • Sentiment or intent classification on your own data (reviews, support tickets, survey responses, social mentions)
  • Automated workflows in n8n that route results to where you need them (spreadsheet, email, Slack)
  • A live dashboard so you can see trends over time, not just a one-off report


Background: 20+ years in product, data and operations roles across Silicon Valley, Hong Kong, APAC and London. I focus on pipelines that solve your actual operational problem, not just technically impressive automation.


Message me with your data source and what decision you're trying to make from it, and I'll tell you honestly whether this is the right fit before you order.

Get to know Leo Chan

Leo Chan

AI automation and data pipelines with n8n

  • FromUnited Kingdom
  • Member sinceJul 2026
  • Languages

    English, Chinese
I build automated AI pipelines that turn raw data into decisions. Twenty years in product and data across Silicon Valley, Hong Kong, APAC and now London. Most recently, I architected a production sentiment system: n8n orchestration, DistilBERT scoring, automated Gmail alerts, and a live Streamlit dashboard, running with zero manual intervention. Skilled in n8n automation, Python, SQL, and BI dashboards (Power BI, Tableau). I focus on pipelines that solve a real operational problem, not just connect nodes. See the full build on my GitHub. Direct, fast turnaround, clear communication.

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