app.py

from fastapi import FastAPI, Request
from fastapi.responses import HTMLResponse
from fastapi.staticfiles import StaticFiles
from fastapi.templating import Jinja2Templates
import uvicorn
import os

app = FastAPI()

# Mount static files
app.mount("/static", StaticFiles(directory="static"), name="static")

# Templates
templates = Jinja2Templates(directory="templates")

# Portfolio Data
portfolio_data = {
    "name": "Tran Bao Ngoc",
    "tagline": "Passionate about AI, Machine Learning, and Building Scalable Solutions",
    "location": "Hanoi, Vietnam",
    "email": "trbaongoc17@gmail.com",
    "github": "https://github.com/TrBn17",
    "huggingface": "https://huggingface.co/NGOC1712",

    "about": (
        "I have almost 2 years of learning, research, and development in the AI industry. "
        "I've joined many AI projects across different domains: Healthcare, Banking, Technical Operations. "
        "I'm looking for an environment where I can grow my technical and soft skills, "
        "while committing long-term and contributing to the company in this AI era."
    ),

    "tech_stack": {
        "ai_engines": [
            {"name": "TensorFlow", "level": 85, "icon": "devicon-tensorflow-original colored"},
            {"name": "PyTorch", "level": 90, "icon": "devicon-pytorch-original colored"},
            {"name": "Hugging Face", "level": 75, "icon": "custom-icon", "icon_src": "/static/icons/huggingface.png"},
            {"name": "OpenAI", "level": 80, "icon": "custom-icon", "icon_src": "/static/icons/openai.png"},
            {"name": "Langchain", "level": 85, "icon": "custom-icon", "icon_src": "/static/icons/langchain.png"}
        ],
        "programming_languages": [
            { "name": "Python", "level": 95, "icon": "devicon-python-plain colored" },
            {"name": "JavaScript", "level": 65, "icon": "devicon-javascript-plain colored"},
            {"name": "HTML/CSS", "level": 70, "icon": "devicon-html5-plain colored"}
        ],
        "databases": [
            {"name": "PostgreSQL", "level": 95, "icon": "devicon-postgresql-plain colored"},
            {"name": "Redis", "level": 60, "icon": "devicon-redis-plain colored"},
            {"name": "SQL", "level": 75, "icon": "devicon-sqldeveloper-plain colored"},
            {"name": "MinIO", "level": 85, "icon": "custom-icon", "icon_src": "/static/icons/minio.png"},
            {"name": "MongoDB", "level": 50, "icon": "devicon-mongodb-plain colored"}
        ],
        "devops_tools": [
            {"name": "Docker", "level": 95, "icon": "devicon-docker-plain colored"},
            {"name": "Grafana", "level": 65, "icon": "devicon-grafana-plain colored"},
            {"name": "Prometheus", "level": 55, "icon": "fas fa-fire"},
            {"name": "Loki", "level": 50, "icon": "custom-icon", "icon_src": "/static/icons/Loki.png"},
            {"name": "Kubernetes", "level": 45, "icon": "devicon-kubernetes-plain colored"}
        ],
        "frameworks": [
            {"name": "FastAPI", "level": 90, "icon": "devicon-fastapi-plain colored"},
            {"name": "Flask", "level": 70, "icon": "devicon-flask-original colored"},
            {"name": "Django", "level": 60, "icon": "devicon-django-plain colored"}
        ]
    },

    "experience": [
        {
            "title": "AI Engineer",
            "company": "FOXAi Joint Stock Company",
            "period": "May 2024 - Present",
            "description": [
                "Developed scalable backend services using Python, FastAPI",
                "Collaborated with business analysts and product managers",
                "Built demo services with Hugging Face for clients/internal showcases",
                "Created technical documentation and system architecture diagrams",
                "Worked on low-resource languages (e.g., Lao) with limited training data"
            ]
        },
        {
            "title": "AI Intern",
            "company": "Wisdom Brain",
            "period": "Sep 2023 - Feb 2024",
            "description": [
                "Researched layered architectures in reinforcement learning",
                "Gained hands-on experience with deep learning models"
            ]
        }
    ],

    "projects": [
        {
            "name": "AI-Powered Chatbot System",
            "description": "Developed chatbot integrating OpenAI, Deepseek, Gemini APIs",
            "languages": ["Python"],
            "technologies": ["FastAPI", "OpenAI API", "Deepseek", "Gemini", "Langchain", "PostgreSQL", "Redis", "Docker", "MinIO"],
            "role": "Core Developer",
            "highlights": [
                "Multi-model integration",
                "Scalable architecture",
                "Real-time responses",
                "Streaming support"
            ]
        },
        {
            "name": "eKYC Identity Verification",
            "description": "Built eKYC system for ID/passport verification",
            "languages": ["Python", "JavaScript", "HTML", "CSS"],
            "technologies": ["Computer Vision", "OCR", "Deep Learning", "FastAPI", "Docker", "PostgreSQL", "Redis", "MinIO", "Gemini API"],
            "role": "Core Developer",
            "highlights": [
                "High accuracy OCR",
                "Real-time processing",
                "Security compliance"
            ]
        },
        {
            "name": "Document Processing System",
            "description": "Developed RAG system for various document types",
            "languages": ["Python"],
            "technologies": ["Qdrant", "Docling", "FastAPI", "Docker", "PostgreSQL", "Pymupdf", "Langchain", "OpenAI", "Hugging Face"],
            "role": "Core Developer",
            "highlights": [
                "Multi-language support",
                "High accuracy",
                "Fast processing"
            ]
        },
        {
            "name": "Banking ML Solution",
            "description": "Applied ML algorithms to banking challenges",
            "languages": ["Python"],
            "technologies": ["Scikit-learn", "Pandas", "NumPy", "Docker"],
            "role": "Technical Support",
            "highlights": [
                "Risk assessment",
                "Fraud detection",
                "Customer segmentation"
            ]
        }
    ],

    "education": {
        "degree": "Bachelor of Business Data Analytics",
        "school": "International School - VNU",
        "coursework": ["Business Analysis", "Data Analysis", "Machine Learning", "Deep Learning"]
    },

    "certifications": [
        "AI Ethics Certificate",
        "Google Data Analytics Professional Certificate",
        "B2 VSTEP Certificate"
    ]
}


@app.get("/", response_class=HTMLResponse)
async def index(request: Request):
    return templates.TemplateResponse("index.html", {"request": request, "data": portfolio_data})


@app.get("/api/data")
async def get_data():
    return portfolio_data


if __name__ == "__main__":
    uvicorn.run("app:app", host="0.0.0.0", port=8000, reload=True)