曾侃 Karen Zeng Karen
“不迷信碳基年龄，只信奉大脑进化” "Don't trust carbon age, only trust real-time brain updates."
AI 时代超级个体宣言 Super Individual Manifesto in AI Era
深耕互联网二十载，从 程序员、测试、产品经理 到 运营主编、售前顾问，我完整经历了移动互联网的兴衰与 AI 的“涌现”。 With 20 years in tech—from Dev, QA, PM to Chief Editor & Pre-sales—I've witnessed the mobile internet cycle and the true "emergence" of AI.
🧠 底层驱动Core Drive
从数学基础、强化学习到具身智能 (Gazebo)，我通过 Gemini 协作代码化深度学习，重塑底层逻辑。相关代码沉淀于 zkhappyfol 仓库。 From math foundations and RL to Embodied AI (Gazebo), I use Gemini to co-code deep learning and reshape logic. Tracked at zkhappyfol.
📱 C端：产品思维C-End: Product Thinking
不仅是写代码，更关注用户体验与场景闭环。独立开发并上线了 niuma.iwineday.top (个人作品集) 以及 diary.iwineday.top (AI 语音日程助手)。 Focusing on UX and scenario loops. Independently developed and launched niuma.iwineday.top (portfolio) and diary.iwineday.top (AI voice schedule assistant).
🏢 B端：解法思维B-End: Solution Thinking
极强的商业敏锐度。结合多年 售前咨询、新零售与私域 CRM 操盘经验，擅长从业务痛点出发，提供企业级可落地的 AI 降本增效解决方案。 Top-tier commercialization. Leveraging years of pre-sales, new retail, and private domain CRM experience to provide actionable enterprise AI solutions.
🤖 AI 探索与独立开发 (2023 - 至今) AI Exploration & Indie Dev (2023 - Present)
全栈 AI 超级个体 / 独立开发者 Full-stack AI Super Individual
杭州曾几光阴工作室 Iwineday Studio🚀 能力分层递进：Progressive Capabilities:
- ✦ 底层认知：Core Cognition: 深入学习 DL 数学基础、强化学习；完成具身智能 Gazebo Demo 开发；利用 Gemini 进行代码驱动式学习。Deep learning math, RL; built embodied AI Gazebo demo; code-driven learning via Gemini.
- ✦ 中层编排：Orchestration: 熟练运用 Coze、n8n 构建自动化工作流；部署 Clawdbot，与 Telegram、飞书深度集成实战。Built automated workflows using Coze/n8n; integrated Clawdbot with Telegram Notebook system.
-
✦
应用落地 (双线并进)：Dual-track Deployment:
C端产品思维C-End Product 主导体验闭环，独立开发 niuma (作品集) 及 diary (AI 语音交互日程助手) 等网站应用。 Driven by UX loop; independently developed niuma (portfolio) & diary (AI voice schedule assistant).
B端解法思维B-End Solution 复用新零售与私域售前经验，将 AI 技术转化为解决企业实际痛点、实现降本增效的商业闭环方案。 Reusing retail/private domain pre-sales logic to turn AI into enterprise-level efficiency solutions.
🎬 个人 IP 运营：Personal IP Ops:
打造 “侃姐AI进化Lab”，覆盖公众号、视频号、小红书、知乎等。具备图文内容策划，及视频出镜表达、剪辑全闭环能力。 Built "Karen's AI Evolution Lab" across major Chinese social media platforms. Full-loop content creator: mastering text/image strategy, on-camera presentation, and video editing.
💼 职业老兵经历 (连续创业团队) Veteran Career History (Cross-domain)
售前顾问与咨询 (私域/零售 CRM) Pre-sales Consultant (Retail CRM)
2018 - 2021杭州叠云 / 企加云Hangzhou Dieyun / Qijiayun
从 0 到 1 构建 KA 客户私域整体解决方案，深度访谈调研，同销售密切配合签约多个行业标杆客户。 Built 0-to-1 private domain solutions for KA clients, collaborating closely with sales to land industry benchmark accounts.
主编与合伙人 (新媒体运营)Chief Editor & Partner (New Media)
2017北京就爱优闲Beijing Jiu Ai You Xian
组建内容团队，负责专栏撰写及整体内容调性；深度参与运营数据分析与活动策划。Formed content teams, managed column writing, tone, and deep-dived into operational data & event planning.
产品/运营经理 (医疗 CRM)PM & Ops Manager (Medical CRM)
2015 - 2016杭州大医堂Hangzhou Dayitang
负责医患关系 CRM 及体检中心运营，产品 Owner；2个月内实现客户数从 900 增至 1万+。CRM Product Owner. Scaled customer base from 900 to 10k+ within 2 months.
产品经理Product Manager
2014上海快钱Shanghai Kuaiqian
负责快钱首个 App 开发，独立 Cover 18 人研发团队需求，两周一迭代。Led development of Kuaiqian's first App, independently covering requirements for an 18-person dev team.
电子商务部门负责人E-commerce Dept Head
2012 - 2013宁夏希望Ningxia Xiwang
组建运营团队，负责政府对接与供应商谈判，建设并运营 B2C 电商平台及自有淘宝店。Built ops team, handled government/supplier relations, operated B2C platform and Taobao stores.
技术研发与测试专家Tech Dev & QA Expert
2007 - 2011杭州绿藤Hangzhou Lvteng
从 0 到 1 完成测试团队建设；电力行业软件研发；参与咨询，实现技术向售前思维转换。Built QA team from 0 to 1; power industry software dev; shifted mindset from tech to pre-sales via consulting.
🎓 教育背景Education
浙江大学 · 硕士Zhejiang University · MS
GIS (地理信息系统)(Geographic Info Systems)
浙江大学 · 学士Zhejiang University · BS
GIS (地理信息系统)(Geographic Info Systems)
⚡ 核心技能Core Skills
AI 栈AI Stack
全栈背景Full-stack BG
🍷 跨界荣耀Cross-boundary Glory
WSET Diploma (L4) 认证Certified
全球公认葡萄酒界高难认证，国内仅约 300 人持有。
利用 AI 推理模型辅助高强度复习并通过考试，这不仅是爱好的终点，更是极致学习能力的明证。
Globally recognized elite wine cert (only ~300 in China).
Passed by leveraging AI reasoning models for high-intensity study—proof of extreme learning capacity, not just a hobby.