Elena Quijano

Elena Quijano has a diverse work experience spanning various roles in different organizations. Elena currently works as a Technical Writer at Yubico since May 2021. Prior to this, they worked at Microsoft as a Programmer Writer from June 2020 to April 2021, where they led developer documentation for the Azure Percept platform and development kit. Elena managed content strategy, documentation updates, and issue triaging on GitHub. Elena also collaborated with program managers and subject matter experts to create new content and adapt existing technical documents.

Before joining Microsoft, Elena worked as a Technical Writer from October 2019 to October 2020, where they developed a comprehensive user guide for a submersible robot designed for fishery population surveys. Elena worked closely with scientists and engineers to understand documentation needs and translated technical information into functional documentation.

Elena's earlier experience includes working as an Associate Systems Engineer at Continental from June 2017 to March 2019. In this role, they researched, implemented, and evaluated open-source neural networks for object detection and classification applications. Elena also developed intelligent intersection heatmap visualization using C++ and Cinder/OpenGL.

Prior to Continental, Elena had research and assistantship roles at Boston University and Draper Laboratory. Elena was a Graduate Research Assistant/Draper Fellow at Boston University from September 2015 to June 2016 and a Graduate Teaching Fellow from September 2014 to August 2015. Elena also interned at Draper Laboratory from September 2014 to August 2015.

Elena started their career as a Research Technician and Research Assistant at the Wellman Center for Photomedicine and Wellman Center/Harvard-MIT Health Sciences and Technology Summer Institute for Biomedical Optics. Elena conducted research on corneal elasticity and contributed to a publication in Investigative Ophthalmology and Visual Science during their Summer Research Internship in 2012.

Elena also gained experience as a Research Assistant at the Wellesley College Physics Department, where they designed and tested labs for an experimental physics course.

Overall, Elena Quijano's work experience showcases their expertise in technical writing, documentation development, content strategy, research, and engineering.

Elena Quijano completed their Bachelor of Arts (B.A.) degree in Physics from Wellesley College in the years 2009 to 2013. Elena then pursued a Master of Science (MS) degree in Mechanical Engineering at Boston University from 2014 to 2016. In terms of additional certifications, Elena obtained the following certifications from Coursera: "Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization" in February 2019, "Structuring Machine Learning Projects" in February 2019, "Neural Networks and Deep Learning" in January 2019, and "Machine Learning" in December 2018.