class ElkinG:
    def __init__(self):
        self.username = 'Elkinmt19'
        self.name = 'Elkin Javier Guerra Galeano',
        self.role = 'Machine Learning Engineer',
        self.linkedin = 'https://www.linkedin.com/in/elkin-javier-guerra-galeano-60832b1b3/'
        self.web = 'https://github.com/Elkinmt19'
        self.instagram = '@elkin02011'
        self.code = {
            'cloud': ['AWS', 'GCP'],
            'machine-learning': ['SKlearn', 'Tensorflow', 'Amazon SageMaker', 'XGboost','Vertex AI'],
            'frontend': ['HTML', 'CSS', 'JavaScript'],
            'backend': ['Python', 'Flask', 'Django','NodeJS','FastAPI'],
            'database': ['PostgreSQL', 'MySQL', 'SQLite3', 'MongoDB','Amazon Redshift'],
            'devops': ['Docker','Kubernetes','GitLab CI/CD','Jenkins','GitHub Actions','Azure DevOps'],
            'IaC': ['Terraform','AWS-CloudFormation','AWS CDK','AWS DDK'],
            'mlops':['Sagemaker projects','Kubeflow','Airflow','MLflow','Prefect','Feast','DVC'],
            'big-data':['Apache Spark','Hadoop','Amazon EMR'],
            'tools': ['Git', 'GitHub', 'GitLab']
        }
        self.architecture = ['Serverless', 'Microservices']
    def __str__(self):
        return self.name
if __name__ == '__main__':
    me = ElkinG()