**Implementing data layer**

I need to implement Task 2 for the data layer. It seems like I should create files under the directory /home/node/.clawteam/workspaces/portfolio-tet-2026/data/src/data. The repo path isn't entirely clear; it says src/data/* in the implementation plan. I’ll make the new src/data directory and write the necessary files. After that, I'll use mkdir -p and commit with git in that worktree. Let's get started on this!

bash -lc "set -e; cd /home/node/.clawteam/workspaces/portfolio-tet-2026/data; mkdir -p src/data; cat > src/data/profile.ts <<'TS'
export const profile = {
  name: "Nguyễn Ngọc Trí Vĩ",
  title: "AI Engineer",
  avatar: "/avatar.jpeg",
  email: "nntrivi2001@gmail.com",
  phone: "090 321 5095",
  linkedin: "https://linkedin.com/in/nguyen-ngoc-tri-vi",
  portfolio: "https://nguyenngoctrivi.vercel.app",
  languages: ["Vietnamese (native)", "English (intermediate)"],
  bio: `I'm an AI Engineer passionate about applying cutting-edge machine learning to real-world problems. With a strong foundation in Computer Vision and AI research, I've built solutions for industrial quality inspection, trading automation, and educational AI tools. I love exploring new technologies and turning complex ideas into practical, impactful products.`,
};
TS

cat > src/data/experience.ts <<'TS'
export interface Experience {
  id: number;
  company: string;
  role: string;
  startDate: string;
  endDate: string;
  description: string[];
}

export const experience: Experience[] = [
  {
    id: 1,
    company: "SmartGift Solution",
    role: "AI Engineer",
    startDate: "Mar 2026",
    endDate: "Present",
    description: [
      "Research and deploy AI assistants to improve development team productivity.",
      "Explore and apply suitable technologies for business problems, build POCs, and document practical recommendations.",
    ],
  },
  {
    id: 2,
    company: "Learning Chain Vietnam",
    role: "Applied AI Researcher & Operations Associate",
    startDate: "Jul 2025",
    endDate: "Mar 2026",
    description: [
      "Research and implement AI for trading automation and operations support.",
      "Explore and execute suitable tech, build POCs and document actionable recommendations.",
      "Design and teach applied AI training programs, workshops, and n8n templates.",
      "Support COO in optimizing workflows, reporting, and cross-team process standardization.",
    ],
  },
  {
    id: 3,
    company: "Vườn đậu - Thương hiệu Sữa đậu nành Thảo mộc",
    role: "Founder",
    startDate: "Oct 2024",
    endDate: "Apr 2025",
    description: [
      "Managed entire production and business process: sourcing, manufacturing, packaging, distribution, and inventory control.",
      "Planned raw material procurement, production schedules, and warehousing to optimize costs and maintain product quality.",
      "Developed pricing strategy and direct sales channels. Achieved strong customer satisfaction with average repurchase rate of 2.51x per customer.",
    ],
  },
  {
    id: 4,
    company: "VSTECH Company Limited",
    role: "Computer Vision Engineer",
    startDate: "Aug 2023",
    endDate: "Feb 2025",
    description: [
      "Nozzle Quality Inspection: Built for Japanese client on production line.",
      "3D Vision Integration: Measured Samsung LED panel height with ±7% accuracy.",
      "OCR Solutions: Read package codes and text labels with high accuracy in industrial environment.",
    ],
  },
];
TS

cat > src/data/projects.ts <<'TS'
export interface Project {
  id: number;
  title: string;
  description: string;
  tech: string[];
  demoUrl?: string;
  githubUrl?: string;
  image?: string;
}

export const projects: Project[] = [
  {
    id: 1,
    title: "Nozzle Quality Inspection System",
    description:
      "Computer vision system for automatic nozzle defect detection on production lines. Deployed at Japanese manufacturing facility.",
    tech: ["Python", "OpenCV", "TensorFlow", "Industrial Camera"],
    demoUrl: "https://nguyenngoctrivi.vercel.app",
    githubUrl: "https://github.com/yourusername/nozzle-inspection",
  },
  {
    id: 2,
    title: "3D Panel Measurement",
    description:
      "3D vision integration to measure LED panel height with ±7% accuracy for Samsung.",
    tech: ["3D Vision", "Python", "C++", "Point Cloud Processing"],
  },
  {
    id: 3,
    title: "OCR for Package Codes",
    description:
      "High-accuracy OCR for reading package codes and text labels in industrial environments.",
    tech: ["OCR", "Python", "OpenCV", "Deep Learning"],
  },
  {
    id: 4,
    title: "AI Trading Assistant",
    description:
      "Research and implementation of AI-driven trading automation and operations support.",
    tech: ["Python", "n8n", "PineScript", "Trading APIs"],
  },
  {
    id: 5,
    title: "Applied AI Training Program",
    description:
      "Designed and delivered applied AI training courses, workshops, and learning assets (n8n templates).",
    tech: ["AI Education", "n8n", "Workshop Design"],
  },
];
TS

cat > src/data/blogPosts.ts <<'TS'
export interface BlogPost {
  slug: string;
  title: string;
  date: string;
  excerpt: string;
  content: string;
  image?: string;
  tags: string[];
}

export const blogPosts: BlogPost[] = [
  {
    slug: "journey-into-ai",
    title: "My Journey into AI",
    date: "2025-12-15",
    excerpt:
      "Reflecting on how I got started with AI, from university days to real-world deployments.",
    content: `# My Journey into AI

It all started at university...

## The Beginning

I was fascinated by how machines could learn...

## First Project

My first computer vision project taught me...

## Lessons Learned

- Start with the fundamentals
- Build real things
- Never stop learning

This journey has been incredible, and I'm excited for what's next.`,
    tags: ["personal", "ai", "career"],
  },
  {
    slug: "tet-vibes-2025",
    title: "Tết 2025 - A Time of Renewal",
    date: "2025-01-28",
    excerpt:
      "Celebrating Lunar New Year with family, food, and wishes for the year ahead.",
    content: `# Tết 2025 - A Time of Renewal

Tết is always a special time...

## Family Reunion

Returning home, sharing meals...

## Traditions

Visiting relatives, lucky money...

## Looking Forward

New year, new goals, new hope.

Chúc mừng năm mới! 🎊`,
    image: "/images/tet-2025.jpg",
    tags: ["personal", "tet", "life"],
  },
];
TS

git -C /home/node/.clawteam/workspaces/portfolio-tet-2026/data add -A && git -C /home/node/.clawteam/workspaces/portfolio-tet-2026/data commit -m "feat: add data layer (profile, experience, projects, blog)" || true


/bin/bash: -c: line 10: syntax error near unexpected token `('
/bin/bash: -c: line 10: `  languages: ["Vietnamese (native)", "English (intermediate)"],'

(Command exited with code 2)


402 This request requires more credits, or fewer max_tokens. You requested up to 4096 tokens, but can only afford 3989. To increase, visit https://openrouter.ai/settings/credits and upgrade to a paid account


Continue where you left off. The previous model attempt failed or timed out.


Picking up from the last state:

- The src/data directory now exists.
- My next step is to create four files in src/data: profile.ts, experience.ts, projects.ts, blogPosts.ts following the samples in the implementation plan.

To avoid the previous error, I will create the files one at a time. Here are the contents as per implementation plan and my extracted info.

---

**Let's proceed:**

1. Write profile.ts
2. Write experience.ts
3. Write projects.ts
4. Write blogPosts.ts

Then, I will git add and commit.

---

**Step 1: Create src/data/profile.ts**

write

export const profile = {
  name: "Nguyễn Ngọc Trí Vĩ",
  title: "AI Engineer",
  avatar: "/avatar.jpeg",
  email: "nntrivi2001@gmail.com",
  phone: "090 321 5095",
  linkedin: "https://linkedin.com/in/nguyen-ngoc-tri-vi",
  portfolio: "https://nguyenngoctrivi.vercel.app",
  languages: ["Vietnamese (native)", "English (intermediate)"],
  bio: `I'm an AI Engineer passionate about applying cutting-edge machine learning to real-world problems. With a strong foundation in Computer Vision and AI research, I've built solutions for industrial quality inspection, trading automation, and educational AI tools. I love exploring new technologies and turning complex ideas into practical, impactful products.`,
};


Successfully wrote 708 bytes to /home/node/.clawteam/workspaces/portfolio-tet-2026/data/src/data/profile.ts


export interface Experience {
  id: number;
  company: string;
  role: string;
  startDate: string;
  endDate: string;
  description: string[];
}

export const experience: Experience[] = [
  {
    id: 1,
    company: "SmartGift Solution",
    role: "AI Engineer",
    startDate: "Mar 2026",
    endDate: "Present",
    description: [
      "Research and deploy AI assistants to improve development team productivity.",
      "Explore and apply suitable technologies for business problems, build POCs, and document practical recommendations.",
    ],
  },
  {
    id: 2,
    company: "Learning Chain Vietnam",
    role: "Applied AI Researcher & Operations Associate",
    startDate: "Jul 2025",
    endDate: "Mar 2026",
    description: [
      "Research and implement AI for trading automation and operations support.",
      "Explore and execute suitable tech, build POCs and document actionable recommendations.",
      "Design and teach applied AI training programs, workshops, and n8n templates.",
      "Support COO in optimizing workflows, reporting, and cross-team process standardization.",
    ],
  },
  {
    id: 3,
    company: "Vườn đậu - Thương hiệu Sữa đậu nành Thảo mộc",
    role: "Founder",
    startDate: "Oct 2024",
    endDate: "Apr 2025",
    description: [
      "Managed entire production and business process: sourcing, manufacturing, packaging, distribution, and inventory control.",
      "Planned raw material procurement, production schedules, and warehousing to optimize costs and maintain product quality.",
      "Developed pricing strategy and direct sales channels. Achieved strong customer satisfaction with average repurchase rate of 2.51x per customer.",
    ],
  },
  {
    id: 4,
    company: "VSTECH Company Limited",
    role: "Computer Vision Engineer",
    startDate: "Aug 2023",
    endDate: "Feb 2025",
    description: [
      "Nozzle Quality Inspection: Built for Japanese client on production line.",
      "3D Vision Integration: Measured Samsung LED panel height with ±7% accuracy.",
      "OCR Solutions: Read package codes and text labels with high accuracy in industrial environment.",
    ],
  },
];


Successfully wrote 2153 bytes to /home/node/.clawteam/workspaces/portfolio-tet-2026/data/src/data/experience.ts


export interface Project {
  id: number;
  title: string;
  description: string;
  tech: string[];
  demoUrl?: string;
  githubUrl?: string;
  image?: string;
}

export const projects: Project[] = [
  {
    id: 1,
    title: "Nozzle Quality Inspection System",
    description:
      "Computer vision system for automatic nozzle defect detection on production lines. Deployed at Japanese manufacturing facility.",
    tech: ["Python", "OpenCV", "TensorFlow", "Industrial Camera"],
    demoUrl: "https://nguyenngoctrivi.vercel.app",
    githubUrl: "https://github.com/yourusername/nozzle-inspection",
  },
  {
    id: 2,
    title: "3D Panel Measurement",
    description:
      "3D vision integration to measure LED panel height with ±7% accuracy for Samsung.",
    tech: ["3D Vision", "Python", "C++", "Point Cloud Processing"],
  },
  {
    id: 3,
    title: "OCR for Package Codes",
    description:
      "High-accuracy OCR for reading package codes and text labels in industrial environments.",
    tech: ["OCR", "Python", "OpenCV", "Deep Learning"],
  },
  {
    id: 4,
    title: "AI Trading Assistant",
    description:
      "Research and implementation of AI-driven trading automation and operations support.",
    tech: ["Python", "n8n", "PineScript", "Trading APIs"],
  },
  {
    id: 5,
    title: "Applied AI Training Program",
    description:
      "Designed and delivered applied AI training courses, workshops, and learning assets (n8n templates).",
    tech: ["AI Education", "n8n", "Workshop Design"],
  },
];


Successfully wrote 1530 bytes to /home/node/.clawteam/workspaces/portfolio-tet-2026/data/src/data/projects.ts


export interface BlogPost {
  slug: string;
  title: string;
  date: string;
  excerpt: string;
  content: string;
  image?: string;
  tags: string[];
}

export const blogPosts: BlogPost[] = [
  {
    slug: "journey-into-ai",
    title: "My Journey into AI",
    date: "2025-12-15",
    excerpt:
      "Reflecting on how I got started with AI, from university days to real-world deployments.",
    content: `# My Journey into AI

It all started at university...

## The Beginning

I was fascinated by how machines could learn...

## First Project

My first computer vision project taught me...

## Lessons Learned

- Start with the fundamentals
- Build real things
- Never stop learning

This journey has been incredible, and I'm excited for what's next.`,
    tags: ["personal", "ai", "career"],
  },
  {
    slug: "tet-vibes-2025",
    title: "Tết 2025 - A Time of Renewal",
    date: "2025-01-28",
    excerpt:
      "Celebrating Lunar New Year with family, food, and wishes for the year ahead.",
    content: `# Tết 2025 - A Time of Renewal

Tết is always a special time...

## Family Reunion

Returning home, sharing meals...

## Traditions

Visiting relatives, lucky money...

## Looking Forward

New year, new goals, new hope.

Chúc mừng năm mới! 🎊`,
    image: "/images/tet-2025.jpg",
    tags: ["personal", "tet", "life"],
  },
];


Successfully wrote 1341 bytes to /home/node/.clawteam/workspaces/portfolio-tet-2026/data/src/data/blogPosts.ts


exec

cd /home/node/.clawteam/workspaces/portfolio-tet-2026/data && git add src/data && git commit -m "feat: add data layer (profile, experience, projects, blog)"


[clawteam/portfolio-tet-2026/data fbe21fc] feat: add data layer (profile, experience, projects, blog)
 4 files changed, 184 insertions(+)
 create mode 100644 src/data/blogPosts.ts
 create mode 100644 src/data/experience.ts
 create mode 100644 src/data/profile.ts
 create mode 100644 src/data/projects.ts


✅ Data layer files created and committed:

- src/data/profile.ts
- src/data/experience.ts
- src/data/projects.ts
- src/data/blogPosts.ts

Commit message: feat: add data layer (profile, experience, projects, blog)

Task 2 is now implemented. If the task protocol requires, I can update the task status to "completed," or continue the coordination loop by checking for the next task, new messages, or reporting to the team leader. Let me know if you want to proceed with marking the task completed or need a summary to send to the leader!