Prasad Dinesha Shyamala

Project: GE Healthcare - Magnetic Resonance (MR) Imaging platform (on-site) - Extended the LX-to-CX protocol converter service (Java, Spring Boot) of GE Healthcare's MR scanner platform with new post-processing tasks (T1MAP, T2MAP, R2STAR). - Migrated protocol definitions from XML to JSON with backward compatibility for existing customer protocols. - Implemented conditional-window handling and window-detection timeout logic for native application execution on the scanner console; resolved the blank-window d

Project: Canadian Imperial Bank of Commerce (CIBC) - Alert Broker Redesign - Developed and maintained backend microservices for CIBC using Java, Spring Boot, Spring Batch, and Quarkus in a large-scale BFSI environment. - Built and maintained core banking components: Alert Broker, Template Services, User Services, and batch processors. - Implemented an event-driven push notification pipeline that enriched customer data and routed messages by notification preference. - Migrated banking applications from on-pr

Project: US-based insurance client (QA Testing) - Built and executed automated test suites (Java, JUnit) covering functional and regression cycles, plus defect logging and verification. - Completed the Angular competency assessment and Python training under Cognizant's technical training programme. - Converted from a full-stack development internship into a full-time role.

- Developed full-stack web applications (Java, HTML, CSS). - Built and demonstrated an e-commerce website as a team project. - Earned the FSE0 Accreditation Certificate and received a return offer.

M.Sc. Software Systems Engineering, focused on software engineering, distributed systems, and applied AI. Coursework: Building Large Language Model Applications (software lab, Chair of Databases and Information Systems i5), Introduction to Artificial Intelligence, Reinforcement Learning and Learni

B.Tech. Computer Science and Engineering. Final grade: 81.75% (First Class with Distinction), German grade equivalent 2.0. Final year project: "Analysis and Prediction of Crime against Women Using Machine Learning Techniques" (published, 2021). Coursework: Data Structures and Algorithms, OOP (C++