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Hernán Palumbo has a diverse work experience spanning from 2014 to the present. Hernán currently holds the position of Backend Developer at Rather Labs, Inc since December 2021. Prior to this, they worked as a Data Engineer at RockingData from July 2021 to December 2021. From March 2021 to July 2021, Hernán worked at Rather TV as a Data Analyst and Backend Developer, where they developed web scrapers, managed RDS for storing scrapped data, launched scrapers on virtual machines, and consulted MongoDB databases. Before transitioning to the tech industry, Hernán had experience in the field of nuclear engineering. Hernán served as a Materials Engineer at Comisión Nacional de Energía Atómica from December 2018 to July 2021, specializing in the Department of Mechanical Engineering and working on the CAREM25 Nuclear Reactor project. Hernán also gained research experience as a Research Internship at INVAP S.E. from January 2018 to July 2018. Their earlier work experience includes internships at Comisión Nacional de Energía Atómica and CNEA in 2017 and 2016 respectively. Overall, Hernán Palumbo has a strong background in both technology and nuclear engineering.

Hernán Palumbo's education history includes a Bachelor's degree in Materials Engineering from Instituto de Tecnología Sabato (UNSAM - CNEA), which they obtained from 2014 to 2018. Hernán then pursued further education and is currently studying for a Bachelor's degree in Computer Engineering at Universidad Nacional de Río Negro, which they started in 2021 and is expected to complete in 2024. Prior to their studies at UNSAM - CNEA, Hernán also attended Universidad Tecnológica Nacional from 2012 to 2014, where they studied to become an Engineer in Chemistry.

Additionally, Hernán has obtained several certifications related to data science and machine learning. Hernán completed the following courses: "Introduction to Data Science in Python" from the University of Michigan in March 2021, "Sequence Models" from Coursera in December 2020, "Convolutional Neural Networks" from Coursera in November 2020, "Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization" from Coursera in November 2020, and "Neural Networks and Deep Learning" from Coursera in November 2020. Hernán also completed the course "Applied Plotting, Charting & Data Representation in Python" from the University of Michigan and courses such as "Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning" from Coursera, "Managing Big Data with MySQL" from Duke University, and "Structuring Machine Learning Projects" from Coursera, although the specific completion dates are not provided.