Bridging the gap between complex global logistics and cutting-edge AI orchestration. With an M.Sc. in Economics & Finance and a Six Sigma Green Belt, I specialize in optimizing high-volume retail fulfillment and last-mile networks (Amazon, Xiaomi). I don't just identify bottlenecks; I build the solutions. As a hands-on AI Developer, I engineer custom Agentic workflows using Python, Claude Code, and MCP, integrating multi-modal LLMs (GPT-4V, Whisper) into real-world business logic. My mission is to transform traditional supply chains into intelligent, self-optimizing ecosystems.
致力于连接复杂的全球物流体系与前沿的 AI 编排技术。拥有弗莱堡大学经济和金融学硕士学位及六西格玛绿带认证，深耕于高频零售履约与最后一公里配送网络全链路（曾任职于亚马逊、小米）。我的独特优势在于：不仅能精准识别业务瓶颈，更能亲手构建技术方案。作为一名实战派 AI 开发者，我擅长使用 Python、Claude Code 和 MCP 架构开发定制化智能体工作流，并将多模态大模型深度整合至业务逻辑中。我致力于将传统供应链转化为智能化、自动化的自适应生态系统。
I specialize in bridging the gap between deep supply chain operational expertise and cutting-edge AI development. My graduate studies at the University of Freiburg provided a robust foundation in Economics and Finance, honing my acute sensitivity to data-driven insights and business trends.
Based in Düsseldorf, I bring extensive experience in optimizing omni-channel B2C/B2B fulfillment for global tech leaders like Amazon, Xiaomi, and Huawei, alongside a proven ability to lead cross-functional teams.
Beyond logistics, I am a passionate builder of automation. I engineer customized AI agents using Python, Claude Code, OpenClaw, and MCP. With a profound understanding of AI architectures—planning, memory, and tool-use—I transform complex operational bottlenecks into seamless, automated workflows.
This dual background empowers me to not only identify strategic pain points but to actually design and implement the underlying technical solutions that drive a Pareto Optimal business state.
我致力于将深厚的供应链运营专长与前沿的AI开发能力深度融合。在弗莱堡大学攻读研究生期间，我建立了扎实的经济学与金融学知识体系，培养了对数据指标和商业趋势的高度敏锐感。
我目前定居德国杜塞尔多夫。在为亚马逊、小米和华为等全球科技巨头优化 B2C/B2B 全渠道订单履行（Fulfillment）方面拥有丰富实战经验，并具备管理中小型团队的卓越领导力。
在物流领域之外，我深耕自动化技术。利用 Python、Claude Code、OpenClaw 和 MCP 等工具，我能够基于对 AI 底层架构（规划、记忆、工具调用）的深刻理解，独立构建定制化 AI 智能体，将复杂的业务瓶颈转化为高效的自动化工作流。
这种双重背景使我不仅能精准洞察业务痛点，还能直接动手构建底层的技术方案。我的目标是通过技术手段实现效率最大化，追求企业效益的“帕累托最优”。
A curated collection of my academic papers, custom code scripts, certifications, and professional references. PDFs will open securely in a new tab. Code scripts will open in an interactive pop-up viewer.
这里收录了我的学术论文、自主编写的代码脚本、专业资质证书以及雇主推荐信。为保护隐私和提升体验，点击PDF将在新标签页安全预览（不强制下载），点击代码将直接在网页内弹窗高亮显示。
Practical scripts demonstrating my ability to automate workflows and integrate AI models. Includes a Tampermonkey script for Amazon systems and a LangChain PDF reader.
展示自动化工作流和整合AI大模型能力的代码片段。包含为亚马逊内部系统编写的Tampermonkey增强脚本，以及基于LangChain的PDF阅读器代码。
Explorations at the intersection of economics and technology. Covering Universal Basic Income (UBI) in the AI era and the socio-economic impacts of the GPT ecosystem.
探索经济学与前沿科技的交叉领域。研究课题涵盖AI时代的全民基本收入(UBI)以及GPT生态系统对社会经济的深远影响。
Verified professional credentials spanning Six Sigma, Data Analytics, Python Automation, Machine Learning, and Business Analysis.
涵盖多个领域的核心资质证明，包括六西格玛绿带、谷歌数据分析、Python自动化、斯坦福机器学习及高级商业分析(CBAP)。
Official letters of recommendation from my tenure at Xiaomi, Huawei (Adecco), AEEC, and professors at the University of Freiburg.
收录了我在小米、华为、AEEC任职期间的官方推荐信，以及弗莱堡大学教授的学术推荐信。
Beyond the logical world of algorithms, supply chains, and data models, I possess a deep fascination with traditional Eastern metaphysics. I believe that understanding the ancient wisdom of change and balance offers a unique perspective on navigating modern complexities.
在由算法、供应链和数据模型构成的严谨世界之外，我对东方传统玄学与哲学有着深厚的兴趣。我相信，理解古代关于“变易”与“平衡”的智慧，能为我们在处理现代复杂系统时提供一种独特的降维视角。
Studying the complex interactions of the Five Elements (Wu Xing) to understand natural life cycles and systemic balance.
研究五行生克制化的复杂互动系统，探索生命周期与自然规律的底层逻辑与平衡之道。
Exploring ancient hexagrams to grasp the philosophy of constant change, adapting strategic decision-making in dynamic environments.
通过卦象推演理解“变易”的哲学，将古人的战略决策思维应用于现代动态环境的分析中。
Using traditional divination as a psychological and reflective tool to approach problems from non-linear, intuitive angles.
将传统术数作为一种心理投射与自我反思的工具，跳出线性逻辑，从直觉与全息的角度拆解难题。