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Hi ๐Ÿ‘‹ My name is Teresa Lobo

Machine Learning engineer

Welcome to my profile! ๐Ÿ‘‹ I am a machine learning engineer with years of experience in developing and implementing state-of-the-art AI solutions. With a B. Sc. in Physics and a M. Sc. in Biomedical Engineering, my expertise lies in deep learning models, machine learning, computer vision and LLMs.

I have worked with top companies such as Sngular (technological consulting) and Naturgy (top 3 energy producer and supplier in Spain and Latin America).

  • ๐ŸŒ I'm based in Madrid
  • โœ‰๏ธ You can contact me at [email protected]
  • ๐Ÿš€ I'm currently working at Naturgy
  • ๐Ÿง  I'm learning all the time

Skills

PythonGitPostgreSQLDockerPyTorchTensorFlowGoogle CloudAzureMlflowPySparkLinuxStreamlitMatlabVisualStudioCode

Socials

Lobo's Projects

ai-mario-party icon ai-mario-party

Code repository for training an AI model and challenging it to play Mario Party minigames

ai-trainer icon ai-trainer

This repository presents a set of tools to help you improve your weightlifting form. It does so by analyzing a video of your workout, estimating your pose with a AI model (mediapipe-blazepose) and giving you feedback on your form.

dynamic-modeling-of-the-vih-infection icon dynamic-modeling-of-the-vih-infection

Study of the dynamics of HIV infection and a subsequent analysis of the behavior of the virus when adding antiretroviral treatment. It is presented a theoretical framework about the biological context and the mathematical models proposed to describe the behavior of the virus. Finally, a study of the parameters of the model has been carried out and the results obtained by means of computational analysis are exposed, which are in agreement with the theoretical framework.

simulation-vibration-and-collapse-of-a-cristal-cup icon simulation-vibration-and-collapse-of-a-cristal-cup

Study the nature of transverse waves and the way they propagate, first in a one-dimensional medium represented by an open string, and then by a closed string. From this point onwards, the aim is to answer the following questions: How does the morphology of the initial disturbance affect its propagation through the open chord? Is the energy conserved throughout this process? Will the same happen when propagated through a closed string? Firstly, the ideal situation will be considered, in which there is no damping force. Secondly, this force will be taken into account to observe how the disturbance dissipates. Next, the total energy in both cases will be analyzed to evaluate the fidelity of the computational model to the physical phenomenon. After observing all these situations, what has been studied will be applied to the case of a very fine glass to which a forced and repetitive vibration is added in order to find the amplitude of the perturbation at which the glass breaks. This will allow us to answer, if it is possible that an opera singer can break a very fine glass with her voice, and if so, what frequency conditions would be necessary for this.

workshop-cof-23 icon workshop-cof-23

Este repositorio contiene todo el material neecesario para el workshop sobre Deep Learning del Hackaton-COFยด23

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