Ismael Casarrubias
About Ismael Casarrubias
Ismael Casarrubias is an Audio Software Engineer at Synaptics Incorporated, where he has worked since 2018. He holds a Master's degree in Electronics and Telecommunications and has experience in audio processing, machine learning, and software development.
Work at Synaptics
Ismael Casarrubias has been employed as an Audio Software Engineer at Synaptics Incorporated since 2018. In this role, he focuses on optimizing processing parameters for various products in collaboration with the Digital Signal Processing (DSP) team. His work involves utilizing programming languages such as Python and TCL, as well as the 3QUEST tool. Additionally, he develops user-friendly tools aimed at enhancing user experience with audio processing frameworks. Casarrubias also manages continuous integration processes through Jenkins, ensuring efficient software development and deployment.
Education and Expertise
Ismael Casarrubias holds a Master of Science in Electronics and Telecommunications, which he earned from Centro de Investigación Científica y de Educación Superior de Ensenada between 2014 and 2017. He also completed his undergraduate studies in Aerospace Engineering at Universidad Autónoma de Baja California from 2009 to 2013. Furthermore, he participated in a student exchange program at San Jose State University in 2013, where he continued his studies in Aerospace Engineering. His expertise includes a wide range of Python libraries, such as Prefect, Streamlit, and Scipy, among others.
Professional Background
Before joining Synaptics, Ismael Casarrubias gained experience as a University Professor at Universidad Tecnológica de Tijuana from 2017 to 2018. He also completed internships at NASA Ames Research Center from 2013 to 2014 and at Foxconn in 2010. His internships provided him with practical experience in the aerospace and technology sectors, contributing to his professional development in audio software engineering.
Machine Learning and Development Skills
In his current role, Ismael Casarrubias assists with machine learning tasks, which include data collection, cleaning, labeling, and model training for internal products. His programming skills enable him to develop tools that improve audio processing frameworks, enhancing overall user experience. He effectively employs various Python libraries to streamline processes and improve functionality within his projects.