Integrated full stack technologies including C#, React, Docker, Kubernetes, and SQL for seamless data processing,model deployment, and user interface development.Developing a Large Vision Model using Generative AI and LLM for Medical Image Segmentation and Medical Report Generation.Build a Text Transformer to extract Multi-class labels from Lab reports to fine-tune the Vision Foundation Model.

Developed a state of the art cross-slice attention-based transformer model for 2.5D segmentation resulting in a 5% improvement in segmentation accuracy of MRIs.Designed a Image Super Resolution Model for MRIs using Diffusion Model to convert 2.5D volume to 3D.Developed a Multimodal Convolutional Neural Networks model for "Retinopathy of prematurity" eye disease detection in prematurely born babies based on angiogram images, fundus images, and clinical data.

Designed and implemented the Mortgage Insurance Microservice using C#, ASP.Net and React, deployed on GCPusing Kubernetes and Docker, generating €10M revenue and increasing engagement by 5% in its first quarter.• Designed and Implemented a document verification API with C#, .Net, Rest APIs, and OCR technology to extractand cross-reference text from images with government databases; slashed verification pending time by 30%• Developed a new backend filter for the Mobile Banking Channel using C#, and Redis; streamlined Brexit policychanges, reducing support issues by 23% and improving response times by 7% with GCP deployment.• Developed and deployed the Student Account Opening Microservice using Java, Angular, SpringBoot, and AWS,efficiently handling over 20,000 accounts in the first month and showcasing rapid scalability.• Utilized Java and SpringBoot for the Mobile Banking Channel to manage Brexit policy changes, reducing customersupport issues by 23% and improving response time by 7%, significantly improving service efficiency.• Migrated Insurance Microservice Frontend UI from Javascript to Angular, enhancing scalability, modularity, andmaintainability while leveraging Angular’s features for improved performance and user experience.• Reduced processing time by 5% by implementing additional customer validation checks using Java and SQL, based onpurchasing and saving patterns, enhancing system efficiency and accuracy.• Refactored the codebase for 3 microservices to improve the code reusability by 40% upon adding new features.• Automated the testing of UI and Services in Python/Java using Selenium and Jmeter to save 70% manual efforts.