Developed a web-based platform using Angular for image labeling tasks, facilitating AI model training.Implemented user authentication and authorization features to ensure secure access and data privacy.Seamless workflow enabling image ingestion, labeling by users, and subsequent quality checks for accuracy.Backend logic powered by Python, labeling data, and quality assurance processes.Utilized SQL databases for efficient storage and retrieval of labeled image data, ensuring data integrity.Implemented quality checks within project to validate labeled images, ensuring high-quality training datasets.Leveraged Azure cloud services for deployment, scalability, and efficient handling of image data.Employed agile methodologies for project management, ensuring timely delivery and continuous improvement.

Led the development of MANTRA, a web-based platform using Angular for the front-end and Java with Spring Boot for the back-end.Integrated LAAS (Labeling as a Service) tool with React UI for efficient image labeling, enhancing AI model training capabilities.Deployed MANTRA on a dedicated Linux server, ensuring high availability and performance.Utilized MongoDB for database management, enabling flexible and scalable data storage.Implemented Java microservices architecture, enhancing modularity and scalability of the platform.Leveraged Kafka for real-time streaming data between microservices, enabling seamless communication and data processing.Implemented robust security measures, including user authentication and authorization, to ensure data privacy and integrity.Adopted agile methodologies to streamline project management, fostering collaboration, iteration, and on-time delivery of features and enhancements