John Shen
About John Shen
John Shen is a Senior Software Engineer at Klaviyo, specializing in cloud and distributed computing for back-end web development. He holds a Master's degree in Computer Science from Brown University and has extensive experience in software engineering, data science, and algorithm development.
Work at Klaviyo
John Shen currently serves as a Senior Software Engineer at Klaviyo, a role he has held since 2022. Based in Boston, Massachusetts, he contributes to back-end web development projects, leveraging his expertise in cloud and distributed computing. His work involves applying advanced software engineering principles to enhance Klaviyo's platform, which focuses on marketing automation and customer engagement.
Education and Expertise
John Shen holds a Master's Degree in Computer Science from Brown University, where he studied from 2014 to 2015. He also earned a Master of Science in Neuroscience from the University of Southern California, completing his studies from 2008 to 2014. Additionally, he obtained a Bachelor of Science in Physics from the California Institute of Technology from 2004 to 2008. His academic background supports his expertise in cloud computing, back-end development, algorithm development, and software engineering for computer vision and machine learning applications.
Previous Work Experience
Before joining Klaviyo, John Shen worked as a Software Engineer at Wayfair from 2018 to 2022, where he focused on software development within the e-commerce sector in the Greater Boston Area. Prior to that, he served as a Graduate Teaching Assistant at the University of Southern California from 2012 to 2014, assisting in academic instruction and support. His experience also includes a role as a Master's student in Computer Science at Brown University from 2014 to 2015.
Technical Skills
John Shen possesses a diverse skill set in programming and software development. He is proficient in multiple programming languages, including C++, Matlab, CUDA, and Python. His expertise extends to the entire data science pipeline, encompassing grant writing, data discovery, collection, analysis, and scientific writing. He has also published scientific work in both computer science and biological sciences, demonstrating his ability to bridge technical and research domains.