Naman kaley

At Brudite Private Limited, I extensively worked with AWS services like EC2, RDS, and EKS to ensure scalability, performance, and reliability across multiple projects. A key use case was in SkillBrew, an AI-powered hiring platform. We deployed microservices on EKS (Amazon Kubernetes Service) to manage containerized workloads efficiently. EC2 instances were used for hosting backend APIs, while RDS (PostgreSQL) handled structured applicant and job data. To optimize performance, AWS Auto Scaling ensured dynamic resource allocation based on traffic spikes, and AWS Lambda processed real-time applicant scoring using vector embeddings and Elasticsearch. This setup enabled SkillBrew to handle increasing user demand while maintaining high availability and low latency.