Wonjun Jang is a Machine Learning Engineer based in Seoul with nine years of experience building production-grade recommendation and conversational AI systems. At Kakao Corp he leads agentic LLM alignment training and end-to-end pipelines—covering PLM pretraining, SFT, DPO/GRPO/DAPO—and published practical work on deploying conversational agents in industry venues. He also has a strong recommender-systems background, having built transformer-based sequential recommenders, C++ dataset builders for large-scale preprocessing, and placed in the RecSys Challenge with a published approach for warm/cold sessions. Prior roles span deploying ML on AWS (SageMaker, ECS, Fargate), Airflow pipelines, Elasticsearch ranking, and Docker/ECS migrations, showing fluency from research to scalable production. Notably, he combines hands-on system engineering (C++ preprocessing, infra automation) with cutting-edge LLM alignment techniques, making him effective at moving models from experiment to service.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree, 소프트웨어 학부, 4.16, Bachelor's degree, 소프트웨어 학부, 4.16 at 숭실대학교
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