Miguel González Fernández has over five years of work experience. Miguel began their career in 2017 as a Business Consultant for the Social Enterprise Institute. Later that year, they interned as an R&D Software Engineer for Carl Zeiss Vision. In 2018, they interned as a Software Engineer for Publicis. In 2019, they interned as an AI Research Intern for the ZEISS Group. In 2020, they worked as a Software QA Intern for NETGEAR, where they evaluated and assessed the quality of native iOS/Android applications and service clouds, created test cases for new features with 100% coverage, performed weekly regression testing, and verified bugs raised through JIRA tickets. In 2021, they worked as an Artificial Intelligence TA for San Jose State University. Currently, they are employed as a Software Engineer for CRATUSTECH.
Miguel González Fernández is currently pursuing a Bachelor of Science in Software Engineering from San Jose State University since 2018. Miguel has also obtained the following certifications: DeepLearning.AI TensorFlow Professional Developer from deeplearning.ai in October 2020, Build Native Mobile Apps with Flutter from Udacity in September 2020, Fundamentals of Digital Marketing from Google in September 2020, Crash Course on Python from Google in August 2020, Getting Started with AWS Machine Learning from Amazon Web Services (AWS) in August 2020, Creative Thinking: Techniques and Tools for Success from Imperial College London (Coursera) in July 2020, Essential Google Cloud Infrastructure: Foundation from Coursera in July 2020, Google Cloud Platform Fundamentals: Core Infrastructure from Coursera in January 2020, and Full-Stack Web Development with React Specialization from Coursera in March 2019.
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