YoungRae Jo is a machine learning engineer and ML research scientist with 11 years of experience, currently working as an Associate in Seoul. He specializes in NLP and applied AI engineering, with recent hands-on projects building intelligent document search, summarization, and keyword extraction using small LLMs and embedding pipelines. YoungRae has practical production experience deploying sLLM services with Docker and Kubernetes and developing OCR and API tooling for enterprise document digitization. His work spans PoCs for energy and industrial clients as well as an intelligence search for the National Institute of Forest Science, showing a strength in turning research ideas into deployable systems. Based in South Korea, he blends research-minded experimentation with pragmatic engineering and a focus on document-centric AI problems. An underappreciated detail: he pairs model research (embedding selection and vector analysis) with the full-stack deployment necessary to operationalize those models.
11 years of coding experience
2 years of employment as a software developer
ํ์ฌ ํ๊ณต์ ์์ฌ๊ณตํ, ํ์ฌ ํ๊ณต์ ์์ฌ๊ณตํ at Hannam University
Contributions:10 PRs, 111 pushes, 2 branches in 6 years 6 months
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