iiinova — where your digital self keeps evolving

Pau Labarta Bajo @paulabartabajo.com · 25/04/2025

Intelligence is neither human nor artificial. It is just augmented.

Pau Labarta Bajo @paulabartabajo.com · 10/03/2025

Our brain is like a neural network, and learning is like doing gradient descent. We do something, compare with what we wanted to get, compute the error, reflect and readjust our internal parameters.

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Pau Labarta Bajo @paulabartabajo.com · 07/03/2025

Companies to not look for online-course-certificate collectors. Companies look for problem solvers. Find a problem you are interested in, build your own solution, put on Gihtub and explain what you solved, and how you solved it in the README file.

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Pau Labarta Bajo @paulabartabajo.com · 28/02/2025

ML projects in the real world are very complex. Training the model in a Jupyter notebook is the easy part. Complexity and tech debt pop everywhere: - data ingestion - deployment - re-training - monitoring MLOps is a set of best practices that make your life easier.

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Pau Labarta Bajo @paulabartabajo.com · 26/02/2025

Behind every great data scientist... ... there is a greater data engineer.

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Pau Labarta Bajo @paulabartabajo.com · 23/02/2025

Kubernetes for ML engineers www.realworldml.net/blog/kuberne...

realworldml.net

Kubernetes for ML engineers

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Pau Labarta Bajo @paulabartabajo.com · 22/02/2025

RAG is what happens when your data engineering pipelines work. Wreck is what happens when they don't.

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Pau Labarta Bajo @paulabartabajo.com · 18/02/2025

Plastic is the worst invention of the 20th century

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Pau Labarta Bajo @paulabartabajo.com · 14/02/2025

Water falls from the sky. Clean data doesn't. Thank you my dear Data Engineer.

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Pau Labarta Bajo @paulabartabajo.com · 12/02/2025

Your Python code is not working? A breakpoint() is all you need.

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Pau Labarta Bajo @paulabartabajo.com · 09/02/2025

We humans are a wonderful product of life evolution. Not the owners of planet Earth.

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Pau Labarta Bajo @paulabartabajo.com · 05/02/2025

A breakpoint() is all you need.

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Pau Labarta Bajo @paulabartabajo.com · 04/02/2025

I remember the good old days where Torchflow was all you needed to know to be called a Deep Learning expert... ... or was it Tensortorch ? Never mind

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Pau Labarta Bajo @paulabartabajo.com · 03/02/2025

The data engineer moves the data. The data scientist talks to the data. The ML engineer squeezes the data. The business loves the data.

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Pau Labarta Bajo @paulabartabajo.com · 01/02/2025

There is (very) intelligent life beyond LLMs...

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Pau Labarta Bajo @paulabartabajo.com · 30/01/2025

Training ML models on static data is just 1 piece of the puzzle. Real-word ML systems need 2 more pieces: -> Feature pipeline -> ingests raw data and produce fresh features. -> Inference pipeline -> generates fresh predictions from the fresh features and your production model.

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Pau Labarta Bajo @paulabartabajo.com · 28/01/2025

You don’t need the latest LLM. You just need an Excel sheet

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Pau Labarta Bajo @paulabartabajo.com · 27/01/2025

US innovates. China scales. Europe is on holidays.

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Pau Labarta Bajo @paulabartabajo.com · 27/01/2025

US innovates. China scales. Europe is on holidays*

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Pau Labarta Bajo @paulabartabajo.com · 26/01/2025

Without data engineering... ... there is no LLM engineering.

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Pau Labarta Bajo @paulabartabajo.com · 25/01/2025

Landing a Machine Learning job is like a game. You need to play it differently if you wanna win. ❌ No more dreaming of becoming of an ML engineer. ❌ No more watching Youtube videos. ❌ No more reading Twitter threads. Enough of all that. GO build something TODAY.

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Pau Labarta Bajo @paulabartabajo.com · 24/01/2025

GenAI is worth 0 ... ... when your data warehouse is non existent

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Pau Labarta Bajo @paulabartabajo.com · 20/01/2025

👦🏽 = DevOps candidate 👩‍💼 = HR interviewer 👩‍💼: "What is your strength?" 👦🏽: "Docker" 👩‍💼: "And weakness?" 👦🏽: "Docker" 👩‍💼: "Salary expectations?" 👦🏽: "Docker" 👩‍💼: "Thanks for your time"

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Pau Labarta Bajo @paulabartabajo.com · 17/01/2025

The colleagues I learned the most from during my data science/ML career have been 1 - data engineers 2 - DevOps 3 - software engineers 4 - other data scientists Do not be afraid to ask. Expand your expertise. And then share it with others.

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Pau Labarta Bajo @paulabartabajo.com · 16/01/2025

Today is the first day of the rest of your life. Choose your path wisely.

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Pau Labarta Bajo @paulabartabajo.com · 16/01/2025

How to build an AI coding assistant www.realworldml.net/blog/let-s-b...

realworldml.net

Let's build an AI coding assistant

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Pau Labarta Bajo @paulabartabajo.com · 14/01/2025

How to deploy (the easy way) to Kubernetes www.realworldml.net/blog/deploy-...

realworldml.net

Let's deploy our REST API to Kubernetes 🚀

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Pau Labarta Bajo @paulabartabajo.com · 13/01/2025

Let's build an AI coding assistant www.realworldml.net/blog/let-s-b...

realworldml.net

Let's build an AI coding assistant

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Pau Labarta Bajo @paulabartabajo.com · 12/01/2025

👦🏽 = Data science candidate 👩‍💼 = Tech interviewer 👩‍💼: "Do you think an ML classifier with 95% accuracy is a good model?" 👦🏽: "Yes" 👩‍💼: "Would you buy a self-driving car that is right 95% of the time?" 👦🏽: "😱" #machinelearning

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Pau Labarta Bajo @paulabartabajo.com · 10/01/2025

How to deploy a REST API to Kubernetes (the painless way) ↓↓↓ www.realworldml.net/blog/deploy-...

realworldml.net

Let's deploy our REST API to Kubernetes 🚀

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Pau Labarta Bajo @paulabartabajo.com · 10/01/2025

A friendly reminder to all data scientists: Data does not fall from the sky. Data has to be collected and then processed. And most of this work is done by a data engineer. Thanks, dear data engineers 🙏

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Pau Labarta Bajo @paulabartabajo.com · 08/01/2025

How to become a freelance ML engineer in 2025? My advice ⬇️ www.realworldml.net/blog/how-to-...

realworldml.net

How to become a freelance ML engineer in 2025?

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Pau Labarta Bajo @paulabartabajo.com · 07/01/2025

The magic starts when you stop trying not to be bored. Embrace boredom as the path towards your goals Good night

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Pau Labarta Bajo @paulabartabajo.com · 07/01/2025

When your ML model scores 99% accuracy... in Kaggle ==> you are a master 🎓 in real-world ==> you have a bug in your data (data leakage) 🐛

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Pau Labarta Bajo @paulabartabajo.com · 03/01/2025

It is data warehouses all the way down

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Pau Labarta Bajo @paulabartabajo.com · 02/01/2025

Advice for ML beginners 💡 1 → bad data + bad model = 💩 2 → bad data + good model = 💩 3 → good data + okish model = 👌 4 → good data + good model = 🎉

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Pau Labarta Bajo @paulabartabajo.com · 02/01/2025

If you cannot build it you don’t understand it

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Pau Labarta Bajo @paulabartabajo.com · 01/01/2025

Productivity hack for ML engineers in 2025 Read. The. Documentation

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Pau Labarta Bajo @paulabartabajo.com · 31/12/2024

Don’t be afraid to try new things. Data Scientists who live inside Jupyter notebooks are a thing of the past. You need to be brave, learn to design ML systems, build projects and go beyond Python. These are investments that will pay off.

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Pau Labarta Bajo @paulabartabajo.com · 30/12/2024

How do you monitor your ML models?

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Pau Labarta Bajo @paulabartabajo.com · 29/12/2024

Machine Learning models do not predict the future. They just find patterns in the past.

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Pau Labarta Bajo @paulabartabajo.com · 29/12/2024

The future of LLMs is far from Langchain, Llamaindex... The future of LLM engineers is Rust, running on serverless compute. For example, with tools like this github.com/0xPlayground...

github.com

GitHub - 0xPlaygrounds/rig: ⚙️🦀 Build portable, modular & lightweight Fullstack Agents

⚙️🦀 Build portable, modular & lightweight Fullstack Agents - 0xPlaygrounds/rig

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