Juan Maximiliano Rodríguez Alvarez

Juan Maximiliano Rodríguez Alvarez has a diverse work experience in the fields of machine learning, deep learning, software engineering, and research.

In 2012, Juan worked as a research fellow at the Comisión de Investigaciones Científicas de la Provincia de Buenos Aires.

From 2014 to 2018, they served as a software engineering consultant at both Geokinetics Inc. and SAExploration, where they provided expertise in software development.

During their time at the Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) from 2014 to 2019, Juan worked as a researcher and software engineer. Juan Maximiliano developed predictive models, statistical visualizations, and deep learning models using various tools and frameworks.

In 2018, Juan joined Uniagro as a technical leader and deep learning engineer, where their focus was on leveraging deep learning techniques.

In 2019, Juan worked at Intermedia as the machine learning lead, where they conducted research and analysis on developing a system for non-invasive hip operations and a prototype for detecting and tracking cannabis flowers.

Also in 2019, Juan joined Sinequix as a software & machine learning engineer. Juan Maximiliano developed systems for data scraping, processing, and analysis, as well as a serverless meta-API for managing inventory and sales. Juan Maximiliano also researched approaches for product matching, categorization, and recommendations.

Throughout their career, Juan has demonstrated strong skills in machine learning, deep learning, software engineering, and research.

Juan Maximiliano Rodríguez Alvarez has a diverse educational background. Juan Maximiliano obtained a PhD in Computer Science from the Universidad Nacional del Centro de la Provincia de Buenos Aires, completing their studies between 2014 and 2019. Prior to their PhD, Juan completed a degree in Systems Engineering and a degree in University Programmer Analysis at the same university.

In addition to their formal education, Juan has also pursued various certifications to enhance their skills. Juan Maximiliano completed a course specialization in Deep Learning and obtained a Professional Certificate in DeepLearning.AI TensorFlow Developer from deeplearning.ai. Juan Maximiliano also completed courses such as Convolutional Neural Networks, Natural Language Processing in TensorFlow, and Sequences, Time Series and Prediction from deeplearning.ai. Moreover, Juan has taken courses in data science and machine learning from institutions like the University of Michigan and Stanford University. Juan Maximiliano has also gained knowledge in production machine learning systems from Google.

Juan has further enhanced their expertise in the field by obtaining certifications in various aspects of machine learning modeling and data lifecycle in production from DeepLearning.AI. Juan's educational journey demonstrates their commitment to continuous learning and staying updated with the latest trends and advancements in the field of computer science and machine learning.