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  • Rafael Cavalheiro
Rafael Cavalheiro

Rafael Cavalheiro

  • Data Scientist

I'm a Machine Learning enthusiast who loves finding ways to solve real-life problems using AI. Let's discuss how I can help you grow your idea into a concrete solution.

  • Knowledge
  • Technical
  • Languages
  • English
  • Portuguese
  • Consultants

Industries

  • Automotive
  • Real Estate
  • Telco

Areas of Expertise

  • Deep Learning
  • Machine Learning
  • NLP

Education

  • Universidade do Porto MSc in Electrical and Computer Engineering 2011-2017

Interests & Hobbies

  • Check the latest surf forecast and score some fun waves.
  • I'm a Martial Arts enthusiast and Muay Thai beginner.
  • Music lover. I even produce my own music, when the creativity is there.

Articles by Rafael

Article
Unlocking Business Success with Langchain: The Power of Smart Document Summarization

Dec 2, 2023 in Technical

Imagine a bustling corporate boardroom where executives, armed with stacks of reports and documents, gather for a high-stakes decision-making meeting. The clock is ticking, and the pressure is palpable. In the midst of this chaos, there’s an untapped opportunity—a way to transform this situation from a time-consuming ordeal into a seamless, efficient process. Welcome to […]

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Article
Protect your AI Model from attackers!

Jul 10, 2023 in Technical

Machine learning models can achieve amazing results performing tasks they were designed to. They can also have catastrophic performance if the data we feed the model is not compliant with the data used to train it. This can be exploited as an adversarial attack on our model. Adversarial attacks are a common and growing problem […]

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Article
How to deal with the annoying implications of changing data sources

Nov 20, 2022 in Technical

Let’s discuss a common scenario in AI consulting. The client provides access to data sources in formats such as CSVs or databases that aren’t in a production environment. Why? Usually, they’re exploring the value of the project, do not want to disclose too much data and want to prevent technical problems from happening at the […]

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