Khubaib Athar

Design and implement scalable cloud-native architectures on GCP and AWS. Migrate legacy systems to modern cloud platforms with zero downtime.

• Multi-cloud strategies
• Cost optimization
• Security compliance
• Performance tuning

Automate infrastructure provisioning and management using Terraform, Ansible, and other modern IaC tools for consistent and reproducible deployments.

• Terraform modules
• Ansible playbooks
• Version control
• Environment parity

Implement comprehensive monitoring, logging, and alerting solutions using Grafana, DataDog, ELK Stack, and Prometheus for full system visibility.

• Real-time dashboards
• Predictive analytics
• Custom metrics
• Incident response

Build robust infrastructure for machine learning operations (MLOps) with automated pipelines for model training, validation, and deployment at scale.

• Kubeflow integration
• Model serving
• Distributed training
• GPU optimization

Implement and deploy large language models and generative AI solutions with optimized infrastructure for inference and fine-tuning workflows.

• Model optimization
• Prompt engineering
• RAG implementations
• Vector databases

Design scalable data pipelines and analytics platforms using modern data stack technologies for real-time and batch processing workflows.

• ETL/ELT pipelines
• Data lakes
• Stream processing
• Analytics dashboards

Build robust continuous integration and deployment pipelines using Jenkins, GitLab CI, and GitHub Actions to accelerate development cycles.

• Automated testing
• Blue-green deployments
• Rollback strategies
• Quality gates

Integrate security practices into DevOps workflows, implement compliance frameworks, and ensure secure software delivery pipelines.

• Security scanning
• Vulnerability management
• Compliance automation
• Access control