Christian Saravia Hernandez

Christian Saravia Hernandez has a diverse work experience in various software engineering and machine learning roles. Christian is currently employed as a Machine Learning Engineer at Woven Planet Holdings since August 2021. Prior to this, they worked as an Assistant Manager at Arithmer Inc from September 2019 to July 2021, where they led development projects related to image processing and conducted research on deep learning technologies.

Christian also served as an Algorithm Development Engineer at フィーチャ株式会社 from May 2018 to August 2019. Christian gained experience as a Software Engineer at ヒュマンリソーシア株式会社 from June 2017 to April 2018, where they focused on web page development using PHP with Laravel 5.4, HTML5, and AWS EC2.

Before that, they worked as a Software Engineer at Bevertec from April 2015 to April 2017, where they worked on dynamic reports, developed new features for ATM transactions, and utilized Java, C/C++, Oracle, and Linux. Christian also gained experience as a Software Engineer at BitPerfect Solutions from September 2013 to April 2015, developing Android applications and working with Arduino chip devices and Leap Motion for 3D modeling.

Christian's professional journey started as an Intern at ALIGNET, where they developed a security channel for transactions for a bank in Panama using Java SE7, HTML, CSS, Maven, Jenkins, DB2, and SVN from March 2013 to September 2013.

Christian Saravia Hernandez attended the Universidad Peruana de Ciencias Aplicadas from 2010 to 2014, where they obtained a degree in Software Engineering. In addition to their formal education, they also pursued various certifications in the field. Christian completed several online courses through Coursera, including Mathematics for Machine Learning: Multivariate Calculus, Deep Learning Specialization, Sequence Models, Convolutional Neural Networks, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Machine Learning, Neural Networks and Deep Learning, and Structuring Machine Learning Projects. These certifications were obtained between September 2017 and July 2018.