Professional Experience & Leadership Journey 职业履历与技术领导力进阶
A progressive career spanning premier national laboratories, high-growth venture-backed startups, and cybersecurity market leaders. Grounded in first-principles physics thinking with a decade of expertise delivering autonomous agent workflows, enterprise FinTech platforms, and open-source scientific cloud commons. 贯穿全球顶尖国家实验室、高成长科技初创与网络安全领军企业的职业历程。以粒子物理的第一性原理为思维底色，拥有逾十年的深厚积累，主导交付了企业级自主多智能体系统、金融科技 SaaS 核心架构以及开源国家级科学数据云平台。
Career Milestones & Responsibilities 职业里程碑与核心职责
Detailed walkthrough of strategic mandates, architecture decisions, and business impact across all organizations. 详尽梳理在各大机构中所主导的战略方向、技术架构决策以及创造的业务价值。
Senior Product Lead (Agentic AI) 资深产品负责人 (Agentic AI)
Driving strategic product vision for Agentic AI in Brand Protection. Leading the Agentic AI Analyst (AAA) initiative deploying autonomous agentic workflows for brand defense; consolidating disparate backends into a unified system architecture incorporating traditional ML, and shaping algorithm product strategy for brand recognition. 主导品牌保护 (Brand Protection) 业务线的 Agentic AI 产品战略愿景。牵头推进旗舰项目 Agentic AI Analyst (AAA)，部署自主 Agentic 智能体工作流强化品牌安全防御；整合异构底层系统构建统一技术架构并结合传统机器学习算法，同时主导品牌识别（Brand Recognition）算法的产品定位与演进策略。
- Collaborated cross-functionally to shape multi-quarter product roadmaps and feature milestones, translating complex enterprise brand protection challenges into clear requirements for engineering development. 跨团队协同规划多季度产品路线图与核心交付里程碑，将复杂的企业级品牌保护业务挑战转化为清晰明确的工程研发需求。
- Spearheaded direct enterprise client engagement and customer discovery, ensuring agentic workflows align with real-world security analyst pain points and compliance requirements. 深入开展企业级大客户深度访谈与需求验证，确保 Agentic 工作流深度契合一线安全分析师实际痛点与合规要求。
- Drove product vision, strategy, and PRDs for autonomous agentic evaluation workflows, enabling automated threat metadata processing to classify malicious vs. benign signals without human bottlenecks. 作为产品经理主导自主 Agentic 智能体评估工作流的产品愿景、战略规划与需求规格定义 (PRD)，自动化研判海量威胁元数据并区分恶意与良性信号，消除人工流转瓶颈。
- Led architectural consolidation across disparate backends to build a unified system architecture, strategically incorporating traditional machine learning (ML) models with modern agentic workflows. 主导对多个架构异构的底层系统进行整合归并，统一构建端到端技术架构，并将传统机器学习（ML）算法与现代 Agentic 智能体工作流有机结合。
- Defined algorithm product positioning and strategic roadmap for Brand Recognition, driving automated identification and triage of digital brand abuse and visual impersonation. 制定品牌识别（Brand Recognition）算法的产品定位与演进策略，推动针对网络品牌侵权与视觉假冒仿冒的自动化智能识别与精准研判。
Lead Research Analyst / Product Manager 首席研究分析师 / 产品经理
Led the research and product design for securities-based lending (SBL) solutions, focusing on financial advisor tool suites, liquidity potential modeling, and collateral risk simulation. 主导证券质押贷款 (SBL) 解决方案的产品研究与设计，聚焦金融投顾工具套件、流动性潜能建模与抵押品风险仿真算法。
- Delivered an enterprise-grade Advisor Resource Center from initial PRD to full production rollout in under 2 months with Next.js, Python, Sanity.io, and WorkOS. 在不到 2 个月内，完成企业级投顾资源中心从最初 PRD 构想到全量生产上线（基于 Next.js、Python、Sanity.io 与 WorkOS）。
- Designed algorithms for calculating liquidity potentials and comparative analytics across SBL solutions under diverse market conditions and loan structures. 主导设计流动性潜能测算算法，对比评估不同市场环境与贷款结构下各类 SBL 方案的综合表现。
- Designed collateral stress testing simulation algorithms to quantify portfolio liquidity thresholds and risk exposure under macroeconomic shocks. 设计抵押品宏观压力测试算法，精准量化极端市场行情与波动下的资产流动性风险阈值。
- Led product design and feature specifications for financial advisor tool suites, streamlining client onboarding and loan origination workflows. 主导金融投顾工具套件的产品设计与功能规范，大幅优化客户准入与贷款审批全流程体验。
Senior Technical Project / Product Manager 资深技术项目 / 产品经理
Bridged academic research and enterprise software engineering on the open-source Gen3 (gen3.org) scientific data cloud platform, transforming complex multi-institutional initiatives into scalable cloud SaaS products. Led multiple Agile Scrum teams and ceremonies while interfacing directly with institutional clients on product requirements and delivery timelines. 在开源 Gen3 (gen3.org) 科学数据云平台中深度连结学术科研与现代软件工程，将多元复杂的跨机构前沿科研需求转化为可规模化扩展的云端 SaaS 产品。统筹管理多个跨职能敏捷团队及核心敏捷仪式，并直接对接外部机构客户调研需求与把控交付里程碑。
- Orchestrated multiple cross-functional Agile engineering teams, facilitating end-to-end Scrum ceremonies (sprint planning, backlog grooming, daily standups, reviews, and retrospectives) to maintain high-velocity execution and continuous delivery across cloud microservices. 统筹管理多个跨职能敏捷研发团队，全流程主持核心敏捷仪式（Sprint Planning、Backlog 梳理、Daily Standups、Review 与 Retrospective 复盘），保障复杂云原生微服务的高效交付与持续迭代。
- Directly interfaced with institutional clients, principal investigators (PIs), and consortium partners to discover pain points, negotiate feature scope, track milestone progress, and align technical release roadmaps with customer deadlines and grant cycles. 直接面向外部机构客户、核心科研课题负责人（PI）及跨机构联盟开展深度需求访谈与进度协同，把控产品边界与版本交付里程碑，确保系统交付与客户业务诉求、资助周期与战略路线图高度对齐。
- Extracted and synthesized core product requirements across multifaceted research initiatives, transforming bespoke, open-ended scientific workflows into structured product requirements in Jira, reusable microservice modules, and scalable Data Commons SaaS capabilities. 在多项复杂的学术科研项目中敏锐捕捉产品化机遇，将定制化、发散型的科研诉求提炼转化为 Jira 中结构化的产品需求、高复用微服务模块与可规模化扩展的科学数据云（Data Commons）SaaS 核心功能。
- Orchestrated multi-tenant scientific data commons supporting petabyte-scale federated search, access authorization, and reproducible discovery pipelines while maintaining strict adherence to NIH compliance, HIPAA regulations, and FISMA security baselines. 主导搭建多租户科学数据共享平台 (Data Commons)，支持 PB 级联邦检索、细粒度权限控制与可复现数据分析流程，同时确保底层云微服务全面符合美国国立卫生研究院 (NIH) 规范、HIPAA 隐私法案与 FISMA 联邦安全基线。
Deputy Director of Research / R&D Product Principal Investigator (PI) 研发副总监 / 研发产品项目负责人 (PI)
Secured >$2.5M in U.S. Department of Energy (DOE) SBIR funding as Principal Investigator (PI). Led teams of scientists, mechanical engineers, and software developers building AI/ML computer vision systems, robotic automation software, and open-source scientific data management frameworks. 作为项目负责人 (PI) 累计主持获得超过 250 万美元的美国能源部 (DOE) SBIR 研发基金。带领涵盖科学家、工程师与软件开发者的复合型团队，研发 AI/ML 计算机视觉系统、机器人自动化控制软件与开源科研数据管理框架。
- Authored competitive federal SBIR Phase I and Phase II grant proposals, securing multi-million dollar non-dilutive research awards. 主持撰写多项极具竞争力的联邦 SBIR Phase I 与 Phase II 基金申请，成功获得多笔数百万美元的非稀释性研发资助。
- Directed technical milestones from conceptual physics proofs-of-concept to engineered prototype hardware, instrumentation, and control software. 统筹推进从物理概念验证 (PoC) 到工程化样机、精密测控仪器与控制软件的全流程研发。
- Co-invented proprietary diagnostic techniques and managed intellectual property disclosures. 作为共同发明人研发多项自主知识产权检测技术，负责知识产权技术交底书撰写与管理。
Postdoctoral Research Scientist 博士后研究员
Led modeling, simulations, and experimental data analysis in particle accelerator physics R&D. Developed Python optimization algorithms for high-dimensional beam phase-space and complex experimental datasets, collaborating across multi-institutional international research consortia. 主导粒子加速器物理领域的建模、高精度数值模拟与实验数据分析。基于 Python 开发用于高维相空间优化与复杂实验数据的算法，深度参与跨国、跨机构的科研大科学项目合作。
- Modeled non-linear charged-particle beam dynamics using high-performance computing clusters and particle-in-cell simulation suites. 利用高性能超算集群与粒子网格 (PIC) 仿真套件，对非线性带电粒子束流动力学进行高精度数值建模。
- Engineered custom numerical optimization algorithms and telemetry analysis pipelines in Scientific Python (NumPy, SciPy). 基于科学计算 Python (NumPy, SciPy) 开发定制数值优化算法与实验遥测数据分析流程。
- Published peer-reviewed research papers and presented findings at premier physics international conferences. 在国际顶尖物理同行评议期刊发表学术论文，并在重要国际加速器大会上作学术报告。
Academic Foundation & Honors 学术背景与荣誉奖项
Rigorous First-Principles Scientific Training 扎实的第一性原理数理科研训练
Joint Ph.D. Program conducted in residence at Fermi National Accelerator Laboratory (Fermilab). Focus on Particle Accelerator Physics, High-Dimensional Optimization, and Electromagnetic Dynamics. 常驻费米国家加速器实验室（Fermilab）完成的联合培养物理学博士。主研粒子加速器物理、高维空间优化与电磁动力学。
Honored Chun-Tsung Endowment Scholar (founded by Nobel Laureate Tsung-Dao Lee); National Base Class for Top Physics Talents. Rigorous foundation in theoretical mechanics, electrodynamics, and quantum physics. 首期“莙政学者”（由诺贝尔物理学奖得主李政道先生设立）；国家物理学基础科学拔尖人才基地班。拥有深厚的理论力学、电动力学与量子力学数理功底。
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