César Nieto

César Nieto has a diverse work experience in the technology industry. In 2016, they worked as a Software Engineer at Continental, where they developed and improved automotive software modules. César also utilized automotive communication protocols and followed scrum methodology.

From 2017 to 2019, César worked as a Machine Learning Engineer at Espressive. César implemented and designed machine learning algorithms for natural language processing problems, contributing to the development of APIs and front-end modules.

Starting in 2019, César joined MinIO, Inc. as a Software Engineer. During their time there, they worked on various projects related to object storage products and cloud services. César contributed to open source projects and was involved in UI development.

In 2021, César joined Modern Health as a Software Engineer. César utilized Python, Django, GraphQL, and other technologies to offer personalized mental health care services.

Currently, César is a Software Engineer at MinIO, where they focus on high-performance, S3 compatible object store. This involves working on large-scale AI/ML, data lake, and database workloads, both on-prem and on any cloud platform.

Overall, César Nieto has gained extensive experience in software engineering, machine learning, and object storage technologies throughout their career.

César Nieto obtained a Bachelor's degree in Digital Systems and Robotics Engineering from Tecnológico de Monterrey, where they studied from 2011 to 2015. In 2015, they attended Linköping University, although the specific degree obtained is unknown. Additionally, they have obtained several certifications, including Data Structures from University of California San Diego and National Research University Higher School of Economics through Coursera in September 2020, Algorithmic Toolbox from the same institutions in May 2020, Matrix Algebra for Engineers from The Hong Kong University of Science and Technology through Coursera in December 2018, Big Data Engineering with Spark from Tecnológico de Monterrey in September 2018, Convolutional Neural Networks by Deeplearning.ai through Coursera in May 2018, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization by Deeplearning.ai through Coursera in October 2017, Structuring Machine Learning Projects by Deeplearning.ai through Coursera in October 2017, and Neural Networks and Deep Learning by Deeplearning.ai through Coursera in August 2017. César also completed the Machine Learning course offered by Stanford University through Coursera in June 2017. Furthermore, César obtained the Certified LabVIEW Associate Developer certification from National Instruments in June 2014.