冯靖婉 AI 应用工程 / Agentic Engineer Coco Feng AI Applied Engineering · Agentic Engineer
设计师出身，扎根游戏行业，现以 AI 技术架构顾问身份为企业赋能。致力于将前沿技术栈转化为解决实际生产痛点的落地工具。
Designer by training, rooted in gaming, now building an AI education startup. Dedicated to translating cutting-edge tech into practical tools, while consulting as an AI Technology Architecture Advisor.
UI/UX 产品设计师
UI/UX Product Designer
MCP与API嵌入集成 · 本地模型
MCP & API Embeddings · Local Models
专注工具落地
Focusing on practical adoption
熟悉制作管线与痛点
Familiar with production pipelines
交互设计出身，游戏制作 × 产品设计 × AI 应用探索。在游戏公司积累项目管理与 AI 工程实践经验后，现以 AI 技术架构顾问身份为企业提供 AI 集成方案与技术咨询，同时创立觉然 JORAN 探索 AI 教育方向。
从 MCP 服务器开源项目到量化交易机器人，务实地将 AI 技术落地到各类实际场景中。
Interaction design background, bridging game production, product design, and AI applications. After gaining project management and AI engineering experience at a game studio, now serving as an AI Technology Architecture Consultant while founding JORAN to explore AI education.
From open-source MCP servers to quantitative trading bots — pragmatically shipping AI technology into diverse real-world scenarios.
- 自驱 AI 工程实践：在游戏制作职责外自学 AI 技能，实践 Agentic Workflow 与本地模型部署，善于借助 AI 工具检索 GitHub 开源资源并快速集成，产出多项面向实际生产场景的提效工具
- 百万字文本批量处理：使用 Google AI Studio 搭建基础工具流程，结合 Claude / Antigravity 对游戏剧本进行大批量文本校对与风险核查，交付内容经人工验证全部通过
- Agentic Workflow 实践：基于 Claude Code 构建多步骤 AI 任务流程，将内容生成与数据处理环节自动化
- AI 基础设施搭建：在 Hugging Face 选型并测试开源模型，使用 Ollama / LM Studio 在本地部署并运行推理，配置 Cloudflare 反向代理保障开发测试的网络访问
- 批量图像参考生成：为游戏 CG 绘图环节搭建批量参考图生成流程，大幅减少重复绘图时间，解决了生产中的实际瓶颈
- 项目管理：负责排期与资源分配，保障近期任务按时交付；协助管理外包供应商流程
- AI 技术架构顾问（2026.03 起）：转为顾问角色，为公司 AI 相关技术选型与集成方案提供指导；同期创立觉然 JORAN，探索 AI 教育方向
- Self-directed AI practice: Learned AI skills outside production duties, practicing Agentic Workflow and local model deployment. Regularly leverages AI tools to discover and integrate GitHub open-source resources, building practical productivity tools for real production scenarios
- Million-character text batch processing: Built a basic tooling pipeline using Google AI Studio, then used Claude / Antigravity to batch proofread and conduct risk checks on game scripts at scale — all deliverables passed manual verification
- Agentic Workflow in practice: Built multi-step AI task pipelines using Claude Code, automating content generation and data processing steps
- AI infrastructure setup: Evaluated and tested open-source models on Hugging Face, used Ollama / LM Studio to deploy and run local inference, and configured Cloudflare reverse proxy for stable dev/test network access
- Batch image reference generation: Built a batch reference image generation workflow for the game CG pipeline, significantly reducing redraw time and resolving a real production bottleneck
- Project management: Handled scheduling and resource allocation, ensuring on-time delivery of recent tasks; assisted in vendor management
- AI Tech Architecture Consultant (from Mar 2026): Transitioned to advisory role, providing guidance on AI technology selection and integration strategy; concurrently founded JORAN to explore AI education
- 参与《侏罗纪世界：进化3》（已发布）等国际游戏项目 VO/ADR 录音工作
- 严格执行数字资产管理规范，在国际化制作流程标准下保障交付质量
- VO/ADR recording for Jurassic World Evolution 3 (shipped) and other international game titles
- Strict digital asset management within an international game production pipeline
- 端到端设计执行：需求分析 → Figma 高保真 UI → 设计系统搭建
- 与产品经理和工程师协作，输出设计规范文档和部分 PRD
- End-to-end design ownership from requirements through high-fidelity Figma UI delivery; built and maintained design system
- Collaborated with PMs and engineers; produced design specs and contributed to PRD documentation
- 参与品牌焕新与官网重建，协助从策略到视觉执行的落地
- 统筹 Art Vancouver 2022 策展协助与现场执行，协调多方资源
- Contributed to brand refresh and website rebuild — supporting strategy through visual execution
- Coordinated Art Vancouver 2022: curation support, on-site execution, artist and logistics management
创立觉然 JORAN，探索 AI 教育与效率工具方向。独立搭建品牌官网并部署上线，围绕 AI 应用场景开发探索性工具与解决方案。
Founded JORAN to explore AI education and productivity tools. Independently built and deployed the brand website, developing exploratory tools and solutions around AI application scenarios.
开源 MCP 服务器工具，用于解密和导出 macOS 微信聊天记录。支持与 Claude Code 等 AI 工具集成，实现对话数据的结构化提取与分析。GitHub 获 4 stars。
Open-source MCP server tool for decrypting and exporting macOS WeChat chat history. Integrates with Claude Code and other AI tools for structured extraction and analysis of conversation data. 4 stars on GitHub.
基于 Python + CCXT 构建的加密货币量化交易机器人，对接 OKX API 实现自动化交易策略执行与风控管理。
A cryptocurrency quantitative trading bot built with Python + CCXT, interfacing with the OKX API for automated trading strategy execution and risk management.
将游戏周边策划全流程（主题策划 → 参考搜集 → 企划书撰写 → 预算表整理 → 销量追踪）中的重复环节 AI 化。通过 Agentic Workflow 串联参考图批量生成、企划文档结构化填充与表格数据自动汇总，覆盖从创意到交付的完整链路。
Automated repetitive steps across the full game merchandise planning pipeline — from theme planning, reference gathering, proposal drafting, to budget tracking. Used Agentic Workflow to chain batch reference generation, structured document filling, and data aggregation end-to-end.
面向游戏 CG 绘图环节的美术参考批量生成工具。支持按角色特征批量输出动作、表情、服饰、配饰等多维度参考图，将手动搜图转化为自动化流程，大幅节约画师重复搜图时间。
A batch art reference generator for the game CG pipeline. Supports multi-dimensional reference output — poses, expressions, costumes, accessories — by character traits. Converted manual searching into an automated process, significantly reducing artist turnaround time.
搭建小型本地 AI 测试环境：对比测试部分开源模型，通过 Ollama / LM Studio 运行本地推理，并配合 Cloudflare 反向代理解决接口访问限制问题。
Set up a small local AI test environment: benchmarked selected open-source models, ran local inference via Ollama / LM Studio, and bypassed API access restrictions using a Cloudflare reverse proxy.
面向游戏制作管线的 AI 工具集成实践。通过 MCP 工具服务器连接外部服务，结合 API 嵌入与浏览器自动化，为文本校对、素材管理、数据整理等环节构建可复用的自动化模块。
AI tool integration practice for game production pipelines. Connected external services via MCP tool servers, combined API embeddings with browser automation to build reusable modules for text proofing, asset management, and data processing.
欢迎与我交流关于 AI 的机会 :D
Open to opportunities in AI.