Summary
Jiyun Park is a CTO and researcher with 9 years of experience blending backend engineering, real-time systems, and music information retrieval to build AI-driven audio applications. Currently leading Sentencify and researching multimodal music performance, audio-to-audio and lyrics alignment, she combines deep learning (PyTorch) with production systems (Django, PostgreSQL/PostGIS, Docker, AWS) to move models from lab to low-latency deployment. Her background includes building delivery-area and rider-region systems at Delivery Hero and core network consensus code at ICONLOOP, evidence of strong systems and scalability instincts. A KAIST PhD candidate in Culture Technology, she uniquely straddles academic research and product engineering, often prototyping with Unity for interactive music experiences. Based in Daejeon, South Korea, she is fluent across full-stack web frameworks (React/Vue) and server engineering, with a practical focus on real-time musical alignment that few engineering leaders pursue.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Arts - BA, Economics / Media & Communications, Bachelor of Arts - BA, Economics / Media & Communications at 고려대학교
Doctor of Philosophy - PhD, Graduate School of Culture Technology, Doctor of Philosophy - PhD, Graduate School of Culture Technology at 한국과학기술원(KAIST)
Korean, English