Kacey Wang
Software Engineer at Voxel51
Costa Mesa, California, United States
Summary
🤩
Rockstar🎓
Top SchoolKacey Wang is a software engineer with 8 years of experience building reliable back-end systems and infrastructure, currently contributing to Voxel51’s visual AI platform from Costa Mesa, CA. She blends a strong academic background in neuroscience and a master’s in computer science to design intelligent, human-centered solutions that prioritize explainability for collaborators and intuition for end users. At Voxel51 she focused on database and DevOps improvements—migrating large projects to MongoDB 6.2 and resolving arm64 macOS issues—demonstrating practical expertise in production migrations and cross-platform reliability. Previously at Snap she worked on scalable engineering problems, and earlier research and lab management roles reflect deep domain knowledge in cognitive neuroscience and experimental rigor. Colleagues describe her as curious, empathetic, and goal-oriented, able to translate complex scientific concepts into robust engineering outcomes. She also contributes to notable open-source tooling for visual AI datasets, favoring quality improvements like testing and documentation that reduce friction for other developers.
7 years of coding experience
7 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of Southern CaliforniaMinor, Bioengineering and Biomedical Engineering, Minor, Bioengineering and Biomedical Engineering at Tulane University
Github Skills (12)
bash10
mongodb10
mongodb-database10
dockers9
devops9
python9
docker9
data-engineering8
yaml8
data-science7
computer-vision7
machine-learning7
Programming languages (3)
Github contributions (5)
voxel51/fiftyone
Oct 2022 - Jan 2023
Refine high-quality datasets and visual AI models
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:299 reviews, 191 commits, 201 PRs in 3 months
Contributions summary:Kacey primarily focused on database and infrastructure upgrades, specifically migrating the project to MongoDB 6.2 on mac-arch64. They updated setup scripts, installation procedures, and configuration files to reflect the new database version. Additionally, they modified documentation and code to address and resolve specific errors occurring on arm64 macOS systems and implemented quality improvements, such as test runs and code spacing.
pytorchpythonvisiondata-sciencedeep-learning
kaixi-wang/COVID-19
Mar 2020 - Mar 2020
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Contributions:12 pushes in 3 days
casesjhu-cssenovel-coronavirusjhucsse
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