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Camilo Velázquez Rodríguez

Brussels Brussels, Belgium

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Email: xxx@xxxx.xxx



  • Looking For: machine learning engineer, data scientist

  • Occupation: IT and Math

  • Degree: Doctoral Degree

  • Career Level: Fully Competent

  • Languages: Spanish, English

Career Information:

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Highlights:

Skills:Java, Python, Scala, MatLab, R, Julia, C++, Go, Tensorflow, PyTorch, Scikit-Learn, Jupyter, Linux, Git


Experiences:

Researcher Engineer and Teaching Assistant 11/2018 - current
Vrije Universiteit Brussel, Brussels, Brussels Belgium
I had the opportunity of starting my PhD here and also learned many things along the way. For example, this job allowed to polish my knowledge of software engineering and machine and deep learning. I also taught Software Architectures as part of my Teaching Assistant role. In addition, I was able to lead projects and guide many students during their projects, bachelor's and master's theses.
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Researcher Engineer and Assistant Professor 09/2014 - 11/2018
Universidad de Holguín, Holguín, Holguín Cuba
I was an integral part of many research projects which allowed to learn multiple programming languages and improve my knowledge on machine learning, signal analysis and mathematical thinking. I also had the opportunity to teach courses such as Introduction to Artificial Intelligence, Artificial Intelligence and Knowledge Discovery from Databases.
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Education:

Universidad de Holguín 09/2009 - 06/2014
Holguín, Holguín, Cuba
Degree: Bachelor's Degree
Major:Computer Science
I worked on mathematical modelling two biological signals which are more affected in patients with a certain neurological disease.


Universidad de Holguín 09/2014 - 06/2016
Holguín, Holguín, Cuba
Degree: Master's Degree
Major:Computer Science
I worked on creating a simulator for biological signals of patients with a particular neurological disease. This is to reduce costs on buying expensive equipment to analyze such signals.
Vrije Universiteit Brussel 11/2018 - 03/2024
Brussels, Brussels, Belgium
Degree: Doctoral Degree
Major:Computer Science
The PhD consisted on two main parts. The first one related to automatically recommend fully-qualified names of simple names in incomplete code snippets through the use of machine learning. The other one is the creation of a tool that extracts library features from library usages on a Q&A platform. This latter is for recommend developers with functional features in the exploration of a huge number of libraries.

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