The Unexpected AI Skills I Gained from a PhD in Analytical Chemistry
I transitioned from Analytical Chemistry to AI after a PhD studying PAH detection. Here's how scientific thinking and the use of AI in Chemistry shaped how I learn Artificial Intelligence.
988 words
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5 minutes
The EU AI Act High-Risk Classification. A Practical Guide for Engineering Teams
The EU AI Act's high-risk classification isn't a legal question, it's an engineering one. The requirements it imposes on data governance, human oversight, and technical documentation affect architecture decisions from day one. Here's what engineering teams actually need to understand before they assume their system isn't on the list.
1254 words
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6 minutes
What I Got Wrong About RAG
I came into RAG with strong production architecture instincts and assumed they'd transfer cleanly. Some did. The places where they didn't are where I made my biggest mistakes — and where most teams I've talked to are making theirs.
1178 words
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6 minutes
Why Artificial Intelligence Is the Next Step to Improve My Tech Leadership
Discover why a seasoned tech lead decided to dive into the world of Artificial Intelligence. In this post, I share the mindset shift, learning roadmap, and career goals behind my journey from mobile development to AI — and how you can start yours too.
647 words
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3 minutes
Deterministic vs Probabilistic AI. The Gap Enterprise Teams Need to Close
Enterprise software is built on determinism. AI systems are fundamentally probabilistic. That mismatch is the root cause of most enterprise AI reliability failures — and closing it requires a different mental model, not just better engineering.
1395 words
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7 minutes
The EU AI Act for Enterprise Engineers. What You Actually Need to Know
Enterprise software is built on determinism. AI systems are fundamentally probabilistic. That mismatch is the root cause of most enterprise AI reliability failures — and closing it requires a different mental model, not just better engineering.
1300 words
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7 minutes
Why Your RAG Pipeline Will Fail in Production (And How to Prevent It)
RAG is the right pattern for enterprise AI. That doesn't mean it's easy to get right. Here are the failure modes that production systems actually hit — and what to do about them before they reach your users.
1548 words
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8 minutes
Observability in RAGs. What You Need to Measure Before Hitting the "Deploy" Button
Most RAG systems ship without the instrumentation to know whether they're working. Not because the teams are careless — because the metrics aren't obvious and the tooling isn't mature. Here's what you actually need to measure before a RAG system goes live, and why skipping it makes every subsequent problem harder to diagnose.
825 words
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4 minutes