[2022–2026]
Selected Work
More Projects
01
AI-Powered Auto-Healing and Predictive Scaling in Kubernetes
Developed an AI traffic prediction model with TensorFlow and Prometheus to optimize resource allocation in Kubernetes clusters. Deployed resilient clusters using Terraform and RBAC to ensure continuous reliability.
KubernetesTensorFlowAWS EKSPrometheusTerraformRBAC
02
AWS Infrastructure Setup
Designed a secure and scalable AWS infrastructure using VPC, subnets, and auto-scaling for high-availability applications. Implemented advanced security measures with Security Groups and bastion hosts to ensure controlled access.
AWSVPCSubnetsNAT GatewayALBAuto ScalingS3Security Groups
03
AI-Powered Heatmap Application
Developed an AI-powered heatmap application using Python and TensorFlow for efficient visualization of complex data insights. Streamlined deployment using Kubernetes and Docker, reducing operational overhead and improving scalability.
PythonTensorFlowKubernetesDockerJenkins






