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Leading tech teams

The hardest calls in management: deciding who deserves recognition

5 real stories that challenge how we define, evaluate, and reward impact in tech.

Sep 27, 2025 • Jose Parreño Garcia and Rafa Páez

Engineering meets data: the collaboration no one prepared you for

What engineers need to know when data analysts, data scientists, and metrics start showing up in the sprint backlog.

Sep 13, 2025 • Jose Parreño Garcia and Marcos F. Lobo 🗻🧭

Is gut feeling a proxy for experience?

And does gut feeling have a place in a data-driven world?

Aug 23, 2025 • Jose Parreño Garcia

Born leaders are a myth (here is what really makes a leader stand out)

Daniel Goleman’s research on emotional intelligence highlights the 5 skills that set great leaders apart

Jul 19, 2025 • Jose Parreño Garcia

I answered tough questions from aspiring Data Scientists (here is my top 10 pick)

Real talk on career moves, team dynamics, and the evolving role of DS in an AI-driven world.

Jul 5, 2025 • Jose Parreño Garcia

Large Language Models (LLMs)

LLMs explained (Part 6): Smarter AI through Reinforcement Learning

Why fine-tuning is not enough and how reinforcement learning with human feedback shapes smarter models.

Jun 21, 2025 • Jose Parreño Garcia

LLMs explained (Part 5): Reducing hallucinations by using tools

LLMs still make things up. Can web search and code execution fix that?

Jun 7, 2025 • Jose Parreño Garcia

LLMs explained (Part 4): Making LLMs actually useful through fine-tuning

How models go from glorified autocomplete to real-world assistants (and where they still fail).

May 17, 2025 • Jose Parreño Garcia

LLMs explained (Part 3): From tokens to training – how a baseline LLM learns

How raw text becomes numbers, why tokenization matters, and what an LLM actually learns when it starts from scratch.

May 3, 2025 • Jose Parreño Garcia

LLMs for everyone

Data Science in the age of AI (part 5): The future hybrid.

Practical examples of how agents will become part of every ML workflow.

Dec 27, 2025 • Jose Parreño Garcia

Data Science in the age of AI (part 4): The science we can’t afford to lose

Why rigour, reproducibility, and depth matter more than ever in the age of GenAI.

Dec 6, 2025 • Jose Parreño Garcia

Data Science in the age of AI (part 3): Prompting is not building AI systems

Why the future of GenAI belongs to system architects, not prompt tweakers.

Nov 15, 2025 • Jose Parreño Garcia

Data Science in the age of AI (Part 2): If everyone can build a model, what are Data Scientists for?

Why the value of data science lies before and after the model.

Oct 18, 2025 • Jose Parreño Garcia

Data Science in the age of AI (Part 1): The machine wrote my code (and that’s not the problem)

Why your value isn’t in the code or building ML models. And it actually never was.

Oct 4, 2025 • Jose Parreño Garcia

Machine learning papers distilled for you

What Airbnb discovered after launching their deep learning model for ranking

Think launching a deep learning model is hard? Try optimising it. Read how Airbnb turned post-launch failures into lessons.

Aug 11, 2025 • Jose Parreño Garcia

How Airbnb used Deep Learning to rank listings (and what you can learn from it)

Lessons from Airbnb’s AI experiments, including what worked, what failed, and why simplicity often wins.

Mar 29, 2025 • Jose Parreño Garcia

The power of 1 feature: how Airbnb’s 2013 location model transformed search rankings

Why high-quality feature engineering beats the kitchen-sink approach every time.

Jan 22, 2025 • Jose Parreño Garcia

Books for tech leaders

Struggling to be a great tech manager? This book has answers for you

Lessons from “The Manager’s Path” that every "engineer-turned-manager" should know

Feb 22, 2025 • Jose Parreño Garcia

Senior Data Science Lead

Senior Data Science Lead

Helping managers build efficient teams, data professionals master storytelling and guiding those looking to break into Data Science. I have built teams from scratch and lead 50+ data scientists. Now, I share my experience with you.

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