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Your career pivot doesn't need to be dramatic. It doesn't have to be waking up at 4:30,  coding with Assembly, ice cold ...
09/06/2026

Your career pivot doesn't need to be dramatic.

It doesn't have to be waking up at 4:30,  coding with Assembly, ice cold baths or anything extreme.

Most successful career pivots are actually quite boring.

You code for an hour after work.

You read a few pages instead of trying to finish an entire book.

You build one project, get stuck, solve the problem, and keep going.

Then you do it again.

You don’t need to learn every new AI framework or rebuild your entire life overnight. You need to consistently strengthen the fundamentals, understand how modern AI systems work, and create evidence that you can apply what you’ve learned.

Some days, you’ll feel like you’re making no progress at all.

But six months of ordinary, consistent work can completely change your career.

With enough patience your hard work will compound.

AI engineer role is no longer the same. When someone asked me what AI engineer is back when I was a student; I'd tell th...
09/04/2026

AI engineer role is no longer the same.

When someone asked me what AI engineer is back when I was a student; I'd tell them it's a person who made Siri or Alexa, someone who builds hybrid models and turns them into systems.

In 2026,AI engineers aren't people who build AI models. They take a model and turn it into intelligent system using retrieval, harness, guardrails, evals and other practices.

If you want to become AI engineer in 2026/2027 learn one of these 3:

- data science
- Software engineering
- Machine learning engineering

Follow Danica Simic and comment SUBSTACK for my free library!

My thoughts on AI As someone who is an AI practitioner for years and wrote a paper about GPT model 2 in 2019 I truly bel...
08/31/2026

My thoughts on AI

As someone who is an AI practitioner for years and wrote a paper about GPT model 2 in 2019

I truly believe that AI is going to stay here. Not in this form because this form is only the foundation of everything AI will become in the future.

That said, you'll either let your fear dictate your future, or embrace it for the good it brings. Because the good is certain. In Healthcare, in law, in finance, in dentistry, etc.

When we got software decades ago, people also saw good for it is. Unfortunately, bad actors exploited that and made malware, spyware, data-stealing automations and more.

Learning how to be more careful, responsible and take part in governance is how we take control of AI growth, and that makes it safer, more sustainable and approachable for everyone.

Comment SUBSTACK to read my full post and follow Danica Simic for daily data science and AI content

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