Summary
ByeongGeun Shin is an AI engineer based in Seoul with eight years of hands-on experience building and operationalizing production ML systems across NLP, CV, and data analytics. He has led teams and startup projects, shipping solutions from prototype to production such as a KoBERT+CRF NER service, Jetson edge CV pipelines, and an LLM-powered ATS screening product with agentic workflows and robust evaluation loops. Comfortable with Python, PyTorch, TensorFlow/Keras, and distributed data infrastructure, he favors data-driven decisions and Agile/XP practices to keep delivery predictable and measurable. Notably, he designs rubric-based LLM evaluations and pragmatic fallback/observability strategies to improve reliability in real-world deployments. A practiced presenter and team leader, he balances technical depth with cross-functional communication and continuous learning.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree Computer Science and Engineering, Bachelor's degree Computer Science and Engineering at Pusan National University
Korean, English