Sofia Helpert

Sofia Helpert

Software Engineer @ FlutterFlow

About Sofia Helpert

Sofia Helpert is a Software Engineer with a background in modeling and simulation. She has worked at various institutions, including SandBox Semiconductor, Inc. and Los Alamos National Laboratory, and holds a Bachelor of Science in Physics from The University of Texas at Austin.

Work at FlutterFlow

Sofia Helpert has been employed at FlutterFlow as a Software Engineer since 2021. In this role, she contributes to the development of innovative software solutions. Her experience in the field allows her to apply her technical skills effectively within the company.

Education and Expertise

Sofia Helpert studied at The University of Texas at Austin, where she earned a Bachelor of Science in Physics from 2016 to 2020. During her studies, she participated in the Dean's Scholars Honors Program, which emphasizes academic excellence. Her education provided her with a strong foundation in scientific principles and analytical skills.

Background in Modeling and Simulation

Sofia Helpert has a background in modeling and simulation, which she developed through her research experience. This expertise is particularly relevant to her previous roles in the semiconductor industry and research laboratories, where she applied these skills in practical settings.

Previous Work Experience

Before joining FlutterFlow, Sofia held various positions that enhanced her technical skills. She worked as a Simulation Engineer at SandBox Semiconductor, Inc. from 2018 to 2020, where she gained experience in data analysis and image processing. Additionally, she served as an Undergraduate Office Assistant at the Cockrell School of Engineering from 2017 to 2018 and completed internships at Taste Inc. and SLAC National Accelerator Laboratory.

Research Experience

Sofia Helpert conducted research at Los Alamos National Laboratory as an Undergraduate Student Researcher in 2019, focusing on statistics, machine learning, and parallel computing. This experience contributed to her understanding of advanced computational techniques, which she has applied in her subsequent roles.

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