Software Engineer at Georgia Institute of Technology
Greater Seattle Area United States
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Summary
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Senior
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Top School
Kevin Ko is a software engineer with 12 years of experience blending full-stack development, security research, and machine learning across industry and academia. Based in the Greater Seattle Area, he currently works on AWS Security Assurance while pursuing advanced ML studies at Georgia Tech and teaching machine learning for trading. His background spans cloud-native tooling, DevSecOps and DataOps for Azure deployments, and hands-on backend work—contributing fixes and tests to the mongoosastic library to improve Elasticsearch integration. Comfortable with Angular, GraphQL, Node/Express and Docker, he has interned in security intelligence at CrowdStrike and delivered full-stack solutions at TerraPower. A multicultural technologist raised in Indonesia with Taiwanese roots, he prefers remote short-term missions and enjoys tinkering with integrations that bridge data, search, and security.
12 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS GIS: Data Science Economics, Bachelor of Science - BS GIS: Data Science Economics at University of Washington
Master's degree Computer Science: Machine Learning Specialization, Master's degree Computer Science: Machine Learning Specialization at Georgia Institute of Technology
Master's degree Information Management: Data Science & User Experience, Master's degree Information Management: Data Science & User Experience at University of Washington Information School
High School Diploma, High School Diploma at Bandung Alliance Intercultural School
Index Mongoose models into elasticsearch automatically.
Role in this project:
Back-end Developer & QA Engineer
Contributions:6 commits in 8 days
Contributions summary:Kevin primarily focused on improving the functionality and testing of the `mongoosastic` library. They corrected mapping issues, particularly related to geo types and Elasticsearch versions. The user also added tests for various features, including geo shapes and undefined object fields, to ensure the library's stability and accuracy. These changes directly contribute to the integration between Mongoose models and Elasticsearch.
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Kevin Ko - Software Engineer at Georgia Institute of Technology