class DevOpsEngineer:
def __init__(self):
self.name = "Raghav Kathuria"
self.role = "DevOps & MLOps Engineer"
self.location = "India 🇮🇳"
self.focus = [
"Building scalable cloud infrastructure",
"Automating ML pipelines with MLOps",
"Orchestrating containers at scale",
"Infrastructure as Code"
]
def get_skills(self):
return {
"cloud": ["AWS", "Azure", "GCP", "IBM Cloud"],
"orchestration": ["Kubernetes", "Docker", "Helm", "ArgoCD"],
"iac": ["Terraform", "CloudFormation", "Ansible"],
"ci_cd": ["Jenkins", "GitHub Actions", "GitLab CI"],
"monitoring": ["Prometheus", "Grafana", "ELK Stack"],
"mlops": ["MLflow", "Kubeflow", "Airflow"],
"languages": ["Python", "Bash", "SQL"]
}
me = DevOpsEngineer()🔭 Current Focus: Advanced Kubernetes, MLOps Pipelines, Cloud Cost Optimization
💬 Ask me about: AWS, Kubernetes, Terraform, CI/CD, MLOps
🤝 Open to: Collaboration on DevOps & Open Source Projects
|
Key Features:
Tech: Python, MLflow, Docker, Kubernetes, AWS |
Key Features:
Tech: MLflow, Kubeflow, Terraform, GitHub Actions |
|
Key Features:
Tech: IBM Cloud, Terraform, Docker, Kubernetes |
🔧 GitOps Automation Framework 📊 ML Model Monitoring Dashboard 💰 Cloud Cost Optimizer |
- Achieve Certified Kubernetes Administrator (CKA)
- Master GitOps workflows in production environments
- Contribute to 5+ open-source DevOps projects
- Build a comprehensive MLOps framework
- Reduce cloud costs by 30% through optimization
- AWS Certified DevOps Engineer - Professional
