JUNGCHAN LEE
ML SYSTEMS ENGINEER
Self-taught ML engineer. I design and run Python pipelines for LoRA fine-tuning, parameter optimization, and identity evaluation (code written with Claude Code; design, runs, and verification are mine). At The Blue Studio’s BLUE LAB (staff, AI content production, March 2026) I trained identity LoRAs on real actor photography and benchmarked them with ArcFace against a commercial baseline (Higgsfield Soul 2.0) — the documents, nine scripts, and numbers are published with the company’s permission. My personal R&D (AZIT) is a Z-Image Turbo LoRA of ‘Lee Seol’, a synthetic character whose face was generated from text only. Now automating short-form and chart video production with Claude Code at Pagard AC, checked against evaluation data.
Video Automation
Pagard AC — short-form & chart video
- PERIOD
- August 2026 — present
- SCOPE
- Corpus · judge eval · rulebook QA · edit automation
- STACK
- Python · Claude Code · After Effects · Premiere
- STATUS
- Open to roles
Tools that ship every dependency
How my personal R&D (AZIT) ‘Lee Seol’ LoRA runs — the dataset preparation step in AI-Toolkit, and the Z-Image Turbo inference graph in ComfyUI. Full step-by-step trace in VISUAL WORKFLOW ↗.