Muhammed Safvan CK

Developed and managed CI/CD pipelines for enterprise applications using Azure DevOps, cutting manual deployment effort by 40
percent and improving release velocity.
Configured multi-stage YAML pipelines with approval gates and environment-specific variable groups to enforce secure, traceable
deployments across development, staging, and production.
Implemented Role-Based Access Control policies across Azure DevOps projects and cloud resources to enforce least-privileged access
and meet security compliance requirements.
Integrated Azure Key Vault with CI/CD pipelines for secrets management, eliminating hardcoded credentials and strengthening cloud
security posture.
Managed Azure SQL Database releases across multiple environments, overseeing schema migrations and data deployments with zero
downtime rollout strategies.
Established automated rollback procedures and database backup schedules to strengthen Disaster Recovery readiness and reduce
mean time to recovery.
Provisioned and administered self-hosted Azure DevOps build agents, sustaining a 98 percent build success rate through proactive
monitoring and maintenance.
Lowered post-deployment incidents by 25 percent by standardizing deployment environments, automating configuration
management, and improving observability with Azure Monitor.

Built a customer review classification system using Natural Language Processing and supervised Machine Learning algorithms,
processing more than 5, 000 reviews for automated sentiment analysis.
Achieved 87 percent model accuracy through feature engineering, model tuning, and iterative data preprocessing improvements.
Designed a data preprocessing pipeline covering text cleaning, word segmentation, noise removal, and feature extraction to improve
model consistency.