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Engineered a fault-tolerant cloud infrastructure on AWS — deploying an Auto Scaling Group inside a custom VPC with Launch Templates, Nginx-powered EC2 instances, and S3 integration. Integrated CloudWatch alarms for real-time CPU monitoring and SNS to instantly alert subscribers, ensuring zero-downtime scalability and proactive incident response.

Designed and containerized a full-stack real-time inventory analytics platform using Flask, MySQL, and vanilla JS — packaged into a multi-service Docker Compose setup for one-command deployment. Features live stock tracking, sales trend visualization, and automated low-inventory alerts through a responsive UI, eliminating manual environment setup and ensuring consistent cross-environment delivery

AI-based tools and platforms support emotional wellness, stress management, and mental health access by providing personalized interventions and monitoring, alongside early disease detection through advanced data analysis and predictive models.

Automated deployment platform managing Kubernetes clusters across AWS, Azure, and GCP with unified monitoring and cost optimization.

Intelligent monitoring system using machine learning to predict infrastructure failures and automatically remediate issues.

Fully automated CI/CD pipeline with GitOps principles, featuring security scanning, testing automation, and deployment orchestration.

Comprehensive security scanning platform for container images with vulnerability assessment and compliance reporting.

ML-powered cost optimization dashboard providing recommendations for reducing cloud infrastructure costs across multiple providers.

Event-driven serverless application with intelligent auto-scaling based on traffic patterns and resource utilization.