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I may be slow to respond.
  • Ha Noi Posts and Telecommunications Institute of Technology - PTIT
  • Vietnam
  • 08:34 (UTC +07:00)

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2vhoc/README.md
Vu Van Hoc

Typing SVG

class AIEngineer:
    def __init__(self):
        self.name = "Vu Van Hoc"
        self.studies = "Ha Noi Posts and Telecommunications Institute of Technology"
        self.role = "AI/ML/DL Engineer & Data Scientist"
        self.languageSpoken = ["Vietnamese", "English"]
        self.currentFocus = ["Deep Learning", "NLP", 
                             "Computer Vision", "GenAI"]
    def getTechStack(self):
        Language = ['C/C++', 'Python', 'JavaScript']
        Technologies = ['TensorFlow/Pytorch', 'Sklearn', 
                        'OpenCV', 'FastAPI']
        Tools = ['Docker', 'Linux/Ubuntu',
                 'Git', 'Colab/Kaggle', ]
        Cloud = ['AWS']
        Others = ['VS Code', 'PyCharm', 'Intellij']
        return Language, Technologies, Tools, Cloud
    def sayHi(self):
        print("Turning data into insights and models into solutions!")
    def getBody(self):
        print("Đẹp chai s1 Tuyên Quang!!!")

Me = AIEngineer()
Me.sayHi()
Me.getBody()
Example of SVG Example of SVG
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Neural Networks

Deep Learning

Computer Vision



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Training Progress:
Epoch [====================] 100%
Loss: 0.002908 | Accuracy: 99.98%
Status: Ready for deployment 🚀
Example of SVG
Find Me Example of SVG

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