Shivani D Email & Phone Number

• Managed all phases of the Software Development Life Cycle (SDLC), including gathering requirements, analyzing customer specifications, and developing, and customizing applications.
• Extracted image data from various video sources using FFMpeg, ensuring data consistency and quality. This process standardized datasets and supported accurate analysis for 15+ research projects.
• Designed and implemented a video data compression application in Python, creating APIs that facilitated integration with Google Cloud Platform (GCP) for vision analytics. This project improved data transfer efficiency.
• Utilized Git for version control and managed Docker containers on Google Kubernetes Engine (GKE). Implemented Kubernetes for container orchestration, achieving automatic scaling, load balancing, and rolling updates for.
• Developed and maintained web applications using the Struts 2 framework, streamlining the presentation layer and reducing code complexity by 20%.

Ohio, United States

• Used Eclipse-based Spring Tool Suite(STS) for development and debugging Spring Boot applications, and Micro Services and deployed into OpenShift cloud platforms.
• Orchestrated data fetching operations from RESTful web services using Redux-Promise, ensuring efficient handling of asynchronous actions.
• Demonstrated strong coding skills in Java for backend development, utilizing frameworks such as Spring Boot to build robust and efficient server-side applications.
• Integrated Spring transactions to manage database transactions effectively, ensuring data integrity and consistency across the application.

India

• The primary goal of this project is to design and develop a feature-rich iOS application for digital asset management.
• Digital Assets Management is an Apple application that handles the management of digital assets such as product images, videos, and 3D images.
• It helps in authoring and maintaining the digital assets that are rendered on the pages of the Apple online store.
• Employed advanced caching techniques using Redis to store frequently accessed data, minimizing database queries and improving response times for API requests.
• Implemented error-handling mechanisms to identify and resolve issues related to image transfer failures or data corruption, ensuring data integrity and system reliability.