Hwuiwon Kim is a Founding Engineer based in New York with a decade of software engineering experience focused on agentic AI, real-time observability, and scalable ML infrastructure. Currently building voice agents, task orchestration, and end-to-end pipelines for training, evaluating, and deploying specialized models at Applied Labs, Hwuiwon blends production-grade systems work with model lifecycle engineering. Prior roles at Stack AV involved shipping 3D data labeling and telemetry platforms that sped event analysis and dataset creation, while internships at Apple, Rippling, and Argo AI added identity services, Rust-backed MDM foundations, and WebGL mapping experience. Comfortable across TypeScript front-ends, backend data pipelines, and infrastructure for ML, Hwuiwon has a strong track record of turning research-grade data into production workflows. A Georgia Tech CS alumnus and former sergeant in the Republic of Korea military, Hwuiwon brings operational discipline and product sensibility to cutting-edge AI agent work. Notably, their career shows a consistent tilt toward automating evaluation and annotation—signaling a practical obsession with closing the loop between data, models, and deployable agents.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science Computer Science, Bachelor of Science Computer Science at Georgia Institute of Technology
Contributions:2 PRs, 23 pushes, 4 branches in 1 year 10 months
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