Seokhyun Hwang is a backend developer and ML/ML-Ops engineer with nine years of experience building production NLP and chatbot systems across Saltlux, Kakao Enterprise, and Dunamu. He led NLP efforts at Saltlux, shipping BERT-based intent classifiers and machine reading comprehension solutions for knowledge extraction, then transitioned to ML-Ops and search backend roles at Kakao Enterprise and Dunamu. Comfortable spanning research-grade deep learning and production infrastructure, he specializes in deploying robust ML pipelines and conversational engines at scale. His academic background (M.S. in Interdisciplinary System Engineering, high GPA) complements a pragmatic focus on reliability and observability in ML services. He maintains an active GitHub and technical blog, signaling a habit of documenting and sharing operational learnings beyond core delivery. Pragmatic, detail-oriented, and skilled at bridging model research with backend systems, he excels where NLP models meet production constraints.
9 years of coding experience
학사 (Bachelor), 모바일시스템공학전공 (Mobile System Engineering), 4.0/4.5, 학사 (Bachelor), 모바일시스템공학전공 (Mobile System Engineering), 4.0/4.5 at 단국대학교 (Dankook Univ.)
석사 (Master), 융합시스템공학전공 (Interdisciplinary System Engineering), 4.31/4.5, 석사 (Master), 융합시스템공학전공 (Interdisciplinary System Engineering), 4.31/4.5 at 한양대학교 대학원 (Hanyang Univ.)
mnist serving example using Tensorflow 2.0 and flask
Contributions:12 commits, 11 pushes, 1 branch in 4 months
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Seokhyun Hwang - Backend Developer at 두나무 (Dunamu)