He leads algorithm and engineering teams spanning LLMs, AI agents, memory& search, and embodied intelligence. His work focuses on AI systems and agentic AI—turning frontier research into scalable, continuously evolving system capabilities. His career traces the major shifts in AI: from Trustworthy AI, through Scalable AI Systems, to Agentic&Embodied AI. Over the past three years, he transformed multiple legacy machine learning teams into a cohesive AI organization centered on agentic model, agents, and memory; built an embodied intelligence exploration team from the ground up, assembling full-stack capabilities, and centered on physical agents and embodied runtime systems; drove a dual-track R&D lines that tightly aligned technology innovation with business delivery, achieving measurable impact across the company's internet services, Phone AI, and enterprise AI.
博士，部门负责人，算法与工程团队包含大模型、智能体、记忆与检索、具身智能等方向 。长期从事AI系统与智能体方向的技术研发与产业实践，致力于将前沿AI技术转化为可规模化、可持续演进的系统能力。工作经历整体横跨了重要的AI系统演进历程：可信AI（Trustworthy AI）--> 规模化智能系统（Scalable AI Systems）-->自主智能体与执行系统（Agentic&Embodied Systems）。 近三年主要工作如下, 团队转型：带领不同方向传统机器学习团队完成向AI团队转型，覆盖大模型、智能体、记忆等方向；团队创建：从0到1组建具身智能探索团队，快速构建全栈技术能力，聚焦物理智能体及具身运行时系统研发; 落地交付：主导AI领域技术线与业务线双线建设，技术创新驱动，在公司互联网业务、手机AI、企业AI转型等场景取得广泛业务成果。
We are actively hiring researchers, engineers, and research interns interested in LLM and agents. Feel free to reach out， junwang.lu AT gmail dot com