Rinku Sharma

Use AImodels in real applications by connecting them with APIs and running them smoothly using tools like Docker and Kubernetes. ◦ Deployed AI models to AWS,handling tasks like setting up the environment, managing resources, and ensuring the models run smoothly. ◦ Set up Prometheus and Grafana to track system health in real-time, which helped reduce the time to fix issues by 30% and made the systems more reliable.

Created easy-to-understand documentation for APIs and databases so others can work on them in the future. ◦ Worked on the backend using Node.js, Express.js, and PostgreSQL to make sure the APIs were fast and could handle more users. ◦ Set up and managed databases like MongoDB and Postgres, making sure the data was stored efficiently and could be accessed quickly.

Implemented continuous integration and continuous deployment (CI/CD) pipelines for faster and smoother updates. ◦ Set up a system that automatically deploys apps using Jenkins and Terraform, cutting down the time for deployment by 80% and reducing the need for manual work by 50%. ◦ Managed Kubernetes for smooth cloud operations, used Docker to deploy apps, and monitored performance with Prometheus and the ELKStack.