Samantha V.
About Samantha V.
Samantha V. is a Software Engineer 3 at Adobe, where she has worked since 2021, collaborating with various teams and advocating for UI automation in analytics systems. She holds a Bachelor of Arts in Computer Science and Visual Arts from Bowdoin College and has previous experience as a software engineering intern at Qualcomm.
Work at Adobe
Samantha V. has been employed at Adobe as a Software Engineer 3 since 2021, contributing to various teams including the Dunamis analytics team, DVA Data Science team, Sensei team, Lightroom VF team, and Frame.io team. During her tenure, she has participated in significant projects such as developing an in-app event visualization tool and advocating for UI automation in analytics systems. She also represented Adobe at Vidcon 2022, where she authored an observation summary.
Education and Expertise
Samantha V. holds a Bachelor of Arts (B.A.) in Computer Science with a minor in Visual Arts from Bowdoin College. She also completed an IES Study Abroad Semester in Software Engineering at Universidad Carlos III de Madrid. Her academic background supports her technical skills in software development, particularly in bridging SwiftUI to UIKit and integrating multiple programming languages.
Background
Before her current role at Adobe, Samantha V. worked as a Software Engineer 2 at Adobe from 2019 to 2021. She also gained experience as a Software Engineering Intern at Qualcomm in 2017 and 2018, and as an Admissions Summer Intern at Bowdoin College in 2016. Her diverse background in software engineering and internships has equipped her with a range of skills applicable to her current work.
Achievements
Samantha V. has contributed to various projects that enhance analytics systems, including writing extensive documentation for Swift Analytics and developing a dynamic programming algorithm for video processing tasks. She has presented plans to senior engineers and the Data Science team to support research initiatives, demonstrating her ability to communicate technical concepts effectively.