{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/1530f23909cb492aaabddbabceb57a7c\" frameborder=\"0\" width=\"1728\" height=\"1296\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1296,"width":1728,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1296,"thumbnail_width":1728,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/1530f23909cb492aaabddbabceb57a7c-9d65e165bdade364.gif","duration":205.307,"title":"Implementation of a Stateless Financial Transaction Processing System","description":"Hello, I’m Shivangi Keshri, and in this video, I present the implementation of the BlackRock back-in-challenge, focusing on processing financial transactions, applying validations, and calculating projected returns. The application is built using Java and Spring Boot, ensuring a stateless and horizontally scalable architecture. I’ve detailed how the system validates transactions, applies temporal rules, and calculates tax benefits, including progressive tax lab calculations. Additionally, I’ve implemented performance metrics to enhance scalability and efficiency. I encourage you to review the public Docker image available on Docker Hub for further insights."}