Jaehyeong An is a Machine Learning Engineer based in Seoul with nine years of experience building production-grade AI systems for conversational agents, recommendation, and multimedia services. He has driven R&D and MLOps work—from designing real-time model serving (MLflow, RedisAI, ONNX on k8s) to advanced RAG features like query rewriting, HyDE, and hybrid search—most recently contributing to an AI assistant team at 채널톡. Prior roles include leading AI/ML development for Bespin Global’s HelpNow.AI and NLP and image-text matching work for vcat.ai, demonstrating strong hands-on expertise in LLM-based NLU, semantic similarity, and few-shot learning from user feedback. His background blends academic AI training (MSc in Artificial Intelligence) with practical product delivery, including building quality-evaluation systems for chatbot utterances and parsers for e-commerce extraction. Colleagues rely on him for bridging research ideas into scalable backend implementations in Python, and he often surfaces subtle improvements such as leveraging hybrid search and HyDE to boost RAG relevance.
9 years of coding experience
8 years of employment as a software developer
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Gachon University
Bachelor's degree, Culture Contents / Software Engineering, Bachelor's degree, Culture Contents / Software Engineering at Ajou University
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