Yingzhao Ouyang

The AI Disruption Part 3: Designing for Judgment in an Age of Machines

Yingzhao Ouyang — Tue, 09 Jun 2026 00:58:00 +0000

Originally published on Medium on 6 June 2026 Part 1 diagnosed the fractures: an uneven AI dividend, eroding entry-level roles, and collapsing trust. Part 2 mapped the structural fault underneath: a technology wave so compressed it fits inside a single career, targeting …

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The AI Disruption Part 2: Inside the Sixth Technology Wave

Yingzhao Ouyang — Wed, 03 Jun 2026 17:40:00 +0000

Originally published on Medium on 3 June 2026 Part 1 showed how the AI dividend is already being allocated unevenly, with early-career white-collar workers absorbing much of the adjustment. Part 2 asks what kind of technological wave produces that pattern and why …

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The AI Disruption Part 1: How AI is Reshaping Work Before Our Institutions are Ready

Yingzhao Ouyang — Wed, 27 May 2026 14:17:04 +0000

Originally published on Medium on 27 May 2026 AI is not just another productivity tool. It is changing who gets paid for productivity. In this first part of the series, I look past the hype and examine what the data actually says …

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Chips, Cells and Code: How Singapore is Applying its 40-Year Industrial Playbook to AI

Yingzhao Ouyang — Thu, 19 Feb 2026 01:00:00 +0000

Originally published on Medium on 19 February 2026 In the 1980s, the big bet was chips. Singapore set out to become a serious player in semiconductors and electronics, starting from low‑cost assembly and eventually becoming a key node in the global chip …

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Build Your Own LinkedIn Analytics Part 12: What’s Next? Open Sourcing and Community

Yingzhao Ouyang — Mon, 19 Jan 2026 17:51:14 +0000

In the 12th and final post of the series, I release the open-source repository that implements the LinkedIn analytics pipelines, and discuss future plans.

Build Your Own LinkedIn Analytics Part 11: Key Takeaways and Lessons Learned

Yingzhao Ouyang — Mon, 05 Jan 2026 01:10:00 +0000

In the 11th and penultimate post of the series, I look back on what has been achieved, what can be done better and what has been learned.

Build Your Own LinkedIn Analytics Part 10: Observing the Pipeline

Yingzhao Ouyang — Mon, 29 Dec 2025 17:46:31 +0000

In the 10th post of the series, I show how to set up observability on our data pipeline to monitor its condition and act as necessary.

Build Your Own LinkedIn Analytics Part 9: Making a Maintainable Pipeline

Yingzhao Ouyang — Mon, 22 Dec 2025 01:05:00 +0000

In the 9th post of the series, I use a combination of Git and Databricks Asset Bundles to make the data pipeline easily deployable and maintainable.

Build Your Own LinkedIn Analytics Part 8: Orchestrating and Automating the Pipeline

Yingzhao Ouyang — Mon, 01 Dec 2025 01:00:00 +0000

In the 8th post of the series, I convert the scattered pieces of data ingestion, processing and dashboarding into an orchestrated and automated data pipeline.

Build Your Own LinkedIn Analytics Part 7: Dashboard Design for Insights and Impact

Yingzhao Ouyang — Mon, 24 Nov 2025 15:54:17 +0000

In the 7th post of the series, I build a dashbord on Databricks for the ingested LinkedIn data.