About
I lead enterprise agent platforms and research-to-production pipelines — from Vega at Blue Origin to multimodal work at DMSLab.
Four years spanning enterprise AI platform ownership and academic research...
My work sits at the intersection of systems engineering and ML...
Focus areas
- LLM Systems — LangGraph agents, memory & context engineering, RAG, MCP
- Evaluation — MT metrics, RAGAS harnesses, intent-routing QA suites
- Multimodal — TTS, CV, and generation pipelines from research to production
Work
- All
- Work Projects
- Personal Research
Skills
Systems
Tools
Engineering
Resume
Summary
AI Engineer
4 years · Agents, retrieval, evaluation, and multimodal systems for cross-border e-commerce.
- zhanglina249@gmail.com
- +86 183-0987-0944
- Blue Origin · Shenzhen · IELTS 6.5 · TOPIK 6
Education
M.S. Computer Engineering, Konkuk University
2018 – 2022
长春工业大学人文信息学院 · 计算机科学与技术学士
2013 – 2017
Experience
Blue Origin
2025
LLM Algorithm Engineer
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E-commerce Support Agent · Algorithm Lead · 2025.09 – 2026.02
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AI Store Site Selection · Algorithm Lead · 2025.08 – 2026.02
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Vega Enterprise Multi-Agent Platform · Core Developer · 2025.10 – Present
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Vela Selection Agent · Algorithm Lead / Agent Architecture · 2026.05 – Present
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Acryl Korea
2022
AI Researcher
- Historical Figure Restoration Museum interactive system (LLM + 3D + STT/TTS), 96.7% accuracy.
- Code Generation CodeLlama-7B LoRA/QLoRA fine-tuning, deployed to internal systems.
Contact
Open to AI Engineer roles — Shenzhen, remote, or relocation.
Phone
GitHub
CSDN Blog
WeChat Official Account
AI 赋能科技
Personal WeChat