Marina Torras
About Marina Torras
Marina Torras is a Software Engineer at StreamSets Inc. in Sunnyvale, California, with a background in Mathematics and Computer Science from the University of California, San Diego.
Current Position at StreamSets Inc.
Marina Torras currently works as a Software Engineer at StreamSets Inc. in Sunnyvale, California. In her role, she focuses on developing machine learning models to optimize data processing workflows. Marina also contributes to enhancing the company's core products, particularly in the areas of data integration and pipeline automation.
Previous Positions in Software Engineering
Before joining StreamSets Inc., Marina Torras worked at LeanData, Inc. as a Software Engineer from 2019 to 2021. She had a previous internship at Nanome Inc. in the Greater San Diego Area from 2018 to 2019. She also interned at Inbenta in Tokyo, Japan, for three months in 2017. These roles have significantly contributed to her expertise in software engineering across different industries and geographic locations.
Education and Academic Background
Marina Torras studied Mathematics and Computer Science at the University of California, San Diego, where she earned her Bachelor's degree. She attended UCSD from 2015 to 2019, building a strong foundation in both theoretical and practical aspects of computer science.
Industry Contributions and Volunteer Work
Marina Torras has made notable contributions to the tech community. She has participated in the Grace Hopper Celebration of Women in Computing as a speaker in 2022. Additionally, she volunteers as a mentor for Women Who Code, helping young women advance their careers in technology. She is also active on GitHub, contributing to open-source projects related to data integration and pipeline automation.
Technical Publications and Blogging
Marina Torras has shared her expertise through various publications. She has published a technical blog on Medium, focusing on best practices in data engineering and pipeline management. Her writings are aimed at both novice and experienced professionals in the tech industry, providing valuable insights into data workflows and engineering protocols.