JUNGCHAN LEE
TWO PRACTICES · ONE OPERATOR.
I work at the intersection of professional audio production and ML systems engineering. End-to-end K-Pop instrumentals on one side; production ML pipelines on the other. Both practices, the same operator — pick a face.
K-POP PRODUCER
& AUDIO ENGINEER
Solo K-Pop songwriter, beat-maker, and mixing & mastering engineer. End-to-end in Cubase Pro and FL Studio, no external engineer.
ML SYSTEMS
ENGINEER
Self-taught Python pipelines for production ML training and evaluation. LoRA fine-tuning, parameter sweeps, identity benchmarks, real-time monitoring — built solo from data prep to model export.
WHY
BOTH?
Audio production taught me to make A/B judgments against commercial references on every decision — the same instinct that makes ML evaluation honest. ML systems work taught me to ship a pipeline end-to-end, document the decisions, and measure against a baseline instead of a feeling. The two practices reinforce each other; pick the face that matches what you’re hiring for, or read both.