Peter Fulop | Senior Data Engineer writing about data platforms, AI workflows, and technical leadership

Hi, I’m Peter Fulop!

Welcome — I’m a software and data engineer focused on designing systems that scale data science and analytics.
I work at the intersection of engineering, automation, and AI-assisted workflows, and I care deeply about becoming a multiplier: building things, processes, and environments that make people and teams more effective.

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Latest Articles

Different skills, shared pragmatism

Notes on Gergely Orosz's conversation with Matt Pocock: why I still want my agent to question me before it builds, and what a 25-year-old book has to do with it.

Code is cheap. Confidence is not. Make correctness easier to prove.

AI can generate implementation faster than teams can build confidence in it. Make intent, constraints, and evidence of correctness clear before code arrives.

Using AI to become a team multiplier: a mindset that makes the people around you more effective - part 1

A practical reflection on building a team multiplier mindset with AI: sharing context in code reviews, learning together through pair programming, and writing documentation that helps the whole team move faster.

Software solutions do not start with code

I can move from idea to code faster with AI, but the real work still starts before that: asking better questions, spotting constraints, and building the right mental model.

Switching from doing to directing

As AI takes over more of the mechanical work, engineers at every level need to learn how to direct, verify, and own what gets shipped. This article reflects on why that mindset should start early, not only at senior level.

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