Ernesto David Peña Herrera has a diverse range of work experience. In 2023, they worked as a Backend Developer at Invofox, where they developed algorithms for validation in a digital invoice processing pipeline and conducted testing and debugging.
From 2022 to 2023, Ernesto worked as a Machine Learning Intern at Docet TI. During this time, they focused on Deep Learning in Computer Vision tasks and pipelines, specifically working on image generation using Generative Adversarial Neural Networks (GANs), Diffusion Models, and Latent Space analysis. Ernesto David also integrated different neural network architectures into Computer Vision pipelines.
Prior to that, from 2022 to 2022, Ernesto was a Training Professor and Researcher at Universidad de Oriente in Cuba. Ernesto David taught Algorithms Analysis and Design to Computer Science students, covering topics such as Divide and Conquer Techniques, Greedy algorithms, Computational complexity, recurrence analysis, and Computability Theory. Ernesto David also taught Discrete Math to Computer Science students.
In 2020, Ernesto worked as an Algorithm Engineer and Data Scientist at an AI Startup.
Ernesto David Peña Herrera holds a Master's degree in Computer Science from HARBOUR.SPACE, which they obtained between the years 2022 and 2023. Prior to that, they earned their Bachelor's degree in Computer Science from Universidad de Oriente in Cuba, where they studied from 2017 to 2021.
In addition to their formal education, Ernesto has obtained several certifications. Ernesto David completed courses such as "Build Basic Generative Adversarial Networks (GANs)", "Sequence Models", "Deep Learning Specialization", "Structuring Machine Learning Projects", "Convolutional Neural Networks", "Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization", "HTML, CSS, and Javascript for Web Developers", and "Neural Networks and Deep Learning". These certifications were obtained from institutions such as Coursera and KodeKloud.
Furthermore, Ernesto's record includes an achievement in ICPC (International Collegiate Programming Contest) called ICPCID. However, no specific information is provided regarding the obtained month and year for this achievement.
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