Skip to content
View HaodiFan's full-sized avatar
🎯
Focusing
🎯
Focusing

Block or report HaodiFan

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
HaodiFan/README.md
Anthony Fan public system map

AF-wiki MapAnthonyHF.SkillChatGPT Next Web

Public System

SurfaceRoleRoute
GitHub ProfilePublic homepage and project facadegithub.com/HaodiFan
AF-wiki MapFitness memory, knowledge graph, source boundary, and area navigationhaodifan.github.io/AF-wiki
AnthonyHF.SkillPersonal avatar skill matrix and Anthony-specific context routerhaodifan.github.io/AnthonyHF.Skill
ChatGPT Next WebApp-layer AI chat deploymentchat-gpt-next-web-haodifan.vercel.app

Operating Thesis

Most AI work fails somewhere between model capability and real-world use. My work is about closing that gap: understanding the ceiling, shaping the data frontier, and shipping systems that survive production.

LayerFocusWhat I bring
CeilingNVIDIA Tegra SoCs, Xavier / OrinHardware-aware system thinking, profiling, and architecture tradeoffs
FrontierFrontier-model data productionGUI Agent trajectories, QC workflow, and high-throughput data operations
GroundBusiness delivery30+ AI solutions across 4 industries, from RPA to LLM and GUI agents

Current Focus

MetaInFlow: AI delivery infrastructure for downstream markets.

The bottleneck is not only algorithms. It is delivery: turning frontier AI into maintainable, ROI-positive business systems.

Timeline

2007 First line of code
2016 UIUC — Electrical & Computer Engineering
2018 NVIDIA Shanghai — Tegra SoC team
2021-2025 Shanghai Zhijue Information Technology Co., Ltd. — AI Tech Lead
2022-2025 MetaUniTech — personal brand and Explore AGI work
2025-2026 GrainedAI — Co-founder & CTO
2026 -> MetaInFlow — Co-founder & CTO

Recent Updates

DateAreaUpdate
04-20🔧 Systemarea 层收敛为动态模块:knowledge 提升为 area,并补 work area 骨架 —
04-19🔧 SystemLeadFlow 架构正式命名,并统一仓库与主页文案 —
04-18📋 PlanningW17 训练计划改为下肢、游泳、推拉混合,并匹配营养节奏 —
04-18🏊 Fitness游泳 500m,配速 4'37/100m,平均心率 150 bpm —
04-18🥩 Nutrition晚餐牛腱子加牛肉约 750g,当日蛋白基本已覆盖 —
04-18📋 Planning当前减脂主计划固定为 3 次游泳加 3 次力量代谢训练 —

Featured Repos

RepoWhy it matters
AF-wikiPublic second-brain source for areas, fitness memory, knowledge curation, source manifests, and the Pages map.
AnthonyHF.SkillPersonal avatar skill matrix and Anthony-specific working context.
snapAF-skillsLocal skill collection for media, productivity, domain, and devops workflows.
中文版本

核心主张

我关注的不是“AI 看起来很强”,而是它能不能在真实业务里稳定落地。我的工作长期围绕三层展开:硬件和系统边界、前沿数据生产、业务交付闭环。

层级关注点我的能力
天花板层NVIDIA Tegra SoC,Xavier / Orin了解硬件边界、性能约束和系统架构取舍
前沿层前沿模型数据生产GUI Agent 轨迹、QC 流程、高吞吐数据生产
地面层业务交付4 个行业 30+ AI 方案,从 RPA 到 LLM / GUI Agent

当前主线

MetaInFlow:面向下游市场的 AI 交付基础设施。

真正的瓶颈不只是算法,而是交付:把前沿 AI 变成可运行、可维护、能产生 ROI 的业务系统。

最近动态

日期领域动态
04-20🔧 系统area 层收敛为动态模块:knowledge 提升为 area,并补 work area 骨架 —
04-19🔧 系统LeadFlow 架构正式命名,并统一仓库与主页文案 —
04-18📋 规划W17 训练计划改为下肢、游泳、推拉混合,并匹配营养节奏 —
04-18🏊 健身游泳 500m,配速 4'37/100m,平均心率 150 bpm —
04-18🥩 营养晚餐牛腱子加牛肉约 750g,当日蛋白基本已覆盖 —
04-18📋 规划当前减脂主计划固定为 3 次游泳加 3 次力量代谢训练 —

Popular repositories Loading

  1. engineering-everything engineering-everythingPublic

    中文 spec-driven 软件开发工作流 Skill

    Python 5

  2. AnthonyHF.Skill AnthonyHF.SkillPublic

    Anthony Fan personal avatar skill matrix.

    TypeScript 1

  3. deuces deucesPublic

    A pure Python poker hand evaluation library

    Python

  4. KnowledgeBase KnowledgeBasePublic

    Knowledge base implement to hold papers and its relationships.

  5. hotswind_refresh hotswind_refreshPublic

    Python

  6. vibe_coding_journey vibe_coding_journeyPublic

    A living lab of VibeCoding: experiments, sketches, and notes from building real products.