Sarfaraz Shaikh  ·  ML Engineer  ·  7+ yrs

Overview: This project involved developing innovative blockchain solutions for the insurance industry. Responsibilities: Designed and implemented infrastructure architecture for blockchain networks, including setting up and configuring Kubernetes clusters for scalability and high availability. Utilized Docker to containerize blockchain nodes, optimizing deployment and maintenance. Established and optimized CI/CD pipelines using GitLab CI and Azure DevOps for rapid and reliable application delivery.

Overview: This project focused on building an on-demand home services application leveraging Corda blockchain technology. Responsibilities: Developed the application backend using Corda for managing complex transactions and implementing service provider/customer identities. Built the frontend with React for a mobile-responsive design, integrating biometric authentication for secure login.

Overview: This project involved implementing a comprehensive CI/CD pipeline for a Java application in the BFSI sector. Responsibilities: Configured Maven to manage the Java application's build process, resolving dependencies and compiling source code. Designed and integrated JUnit and Mockito for automated unit testing of individual components.

Overview: This project aimed to develop a cloud-native HR application with capabilities for employee records, payroll, recruiting, and training. Responsibilities: Designed the backend APIs using Java with the Spring Boot framework and managed builds with Maven. Integrated Redis for in-memory data caching to optimize application performance.

Overview: This project focused on implementing MLOps practices to streamline and automate machine learning model deployment for the rail industry. Responsibilities: Defined and provisioned infrastructure resources including cloud instances, networks, and storage using Terraform, supporting machine learning workloads.