Jongย Park

Researcher at Open Network System

Seoul, South Korea
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Summary

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Rockstar
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Top School
Jong Park is an IT infrastructure-focused researcher and engineer based in Seoul with five years of experience building cloud, HPC, and AI infrastructure and services. He has delivered system monitoring and SI projects, contributed backend improvements to the open-source Dify LLM app platform (notably refining dataset vector index update logic), and has hands-on experience operating GPU servers and MLOps/LLMOps workflows. Jongโ€™s background spans AWS/GCP Kubernetes, OpenStack, and high-performance cluster deployments for clients like Samsung, Naver, and KIST, giving him rare exposure to both enterprise-scale and research-grade hardware. Passionate about moving beyond AI infrastructure, he is actively working to productize AI services on top of those platforms, combining practical ops skills with service-oriented development.
code5 years of coding experience
job3 years of employment as a software developer
bookํ•™์‚ฌ ํ–‰์ • / ์œตํ•ฉ๋ณด์•ˆ, ํ•™์‚ฌ ํ–‰์ • / ์œตํ•ฉ๋ณด์•ˆ at Korea University
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Github Skills (11)

database-management10
celery10
apidoc10
python10
api-design9
postgresql9
data-structure9
indexing9
api9
data-structures9
apim9

Programming languages (7)

MDXTypeScriptJavaShellGoHTMLPython

Github contributions (5)

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langgenius/dify

Apr 2023 - Mar 2026

Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
Role in this project:
userBack-end Developer
Contributions:226 reviews, 706 PRs, 1974 pushes in 2 years 11 months
Contributions summary:Jong focused on implementing and refining back-end functionality, primarily involving the dataset vector index update process. Contributions included modifying the rules for handling dataset vector index updates by incorporating database segment management logic and correcting the data format for specific functions within the indexing process. These updates included code changes to the dataset service and the handling of different dataset techniques.
agentic-workflowaivpcgptllm
JohnJyong/echo-native

Feb 2026 - Feb 2026

Contributions:8 pushes, 1 branch in 1 day
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