A lot of people ask me: “datafox, what do we actually talk about in a Coffee Chat?” This isn’t a one-way consultation — it’s a “stress test” for your career hypotheses. Recently, I had a conversation with a student currently pursuing a Master’s in the UK who’s considering returning to Taiwan to start his career.

Below are the highlights of our conversation, along with my honest take on each topic.

1. Cross-Domain Career Pivots: Don’t Force Someone Else’s Script Onto Your Own Story

During our chat, we discussed the “medical background to AI” pivot (which is actually the remarkable story of my friend Iressa).

  • My take: Switching careers isn’t just about learning new tools — it’s about building an entirely different skillset.
  • Key reminder: Many people get anxious scrolling through success stories online, but you have to be clear-eyed about what’s what: which parts are your core competencies, and which are just someone else’s halo? For example, my pivot from finance to CS wasn’t powered by grinding LeetCode — it was about reconstructing my understanding of the underlying logic from the ground up.

2. Demystifying the Google Interview Process: Facts Over Rumors

There’s a lot of misinformation out there about Google internship interviews. We cleared up a few things:

  • The actual process: Resume screening → HR behavioral interview → online coding test → and the most critical step, Team Match.
  • What actually gets you the offer: Many people believe a single phone call to your manager during the background check seals the deal. This is wrong. At Google, your interview performance and team fit are what matter. Background checks exist to verify authenticity — not to override interview evaluations.
  • Quality over prestige: I shared my experience working on a Generative AI customer service system at Cathay United Bank. The point isn’t the company’s name on your resume — it’s whether you can clearly articulate your specific contributions (e.g., agent training, architecture optimization) without overselling.

3. Coding Interviews: No Blind Reliance on AI — But AI Itself Isn’t Banned

This is something I emphasized hard during our conversation. We’re in the AI era — interviewers obviously know you use tools.

  • The real test: Interviewers don’t care whether you can write the code. They care whether you can explain time and space complexity, and why you chose this particular algorithm.
  • Watch out for sycophant mode: If your prep consists of blindly asking AI for answers without engaging with the reasoning behind them, the moment the interviewer tweaks the problem even slightly, your logic falls apart — and that’s the moment you’re out.

4. UK vs. Taiwan: The Brutal Reality of Job Market Ecosystems

My conversation partner shared the challenges UK Master’s graduates face (like his brother at Durham University).

  • Market differences: The UK and Taiwan tech ecosystems are fundamentally different. Taiwan has powerful hardware integration capabilities and a growing demand for AI applications (e.g., VCs are hungry for genuine technical innovation they can distinguish from noise).
  • Networking, done right: Coffee Chats aren’t about getting a referral — they’re about getting first-hand information. Reaching out to alumni and seniors to understand a team’s real pain points is far more effective than carpet-bombing LinkedIn with your resume.

Want to chat? If you’re up for a no-BS, get-to-the-point conversation, feel free to book a Coffee Chat with me. Just remember: bring your reasoning. I don’t accept flattery — only genuine thinking.