Oct 2024 – Nov 2025 · 1 yr 1 mo

• Developed the complete backend for an order‑tracking application to monitor the lifecycle of orders across microservices, from design to
• production.
• Designed and implemented a Spring Boot‑based library project with auto‑configuration, enabling the reuse of common code across multiple microservices, streamlining development.
• Integrated Docker into existing microservices that were not containerized, enhancing deployment efficiency and scalability.
• Led the modernization of the Order Routing component, migrating it from a legacy monolithic system to a microservices architecture which is efficient enough to handle concurrent incoming requests through multi‑threading.
• Spearheaded the DevOps stream within the team, driving improvements in automation and deployment practices, resulting in an enhanced Technology Fitness Score.

Jan 2024 – Sep 2024 · 8 mos

• Worked on the modernization of multiple legacy Java-based systems into individual microservices, enabling communication through MQs and REST APIs, usage of modern authentication protocols (OIDC), along with Sybase as the database.
• Participated in all stages of the SDLC, including analyzing the legacy system, designing and implementing new microservices, writing unit and integration tests, and deploying the services to production

Jan 2023 – Dec 2023 · 11 mos

• Optimized batch system performance by identifying and resolving bottlenecks in a Spring application, achieving a 50% reduction in CPU
• utilization and reducing average processing time by 10 minutes.
• Designed and implemented Spring Batch jobs to generate daily comparison reports, ensuring accurate data reconciliation across multiple
• sources.
• Developed a Spring‑based batch job that enabled the decommissioning of three Mainframe jobs, streamlining operations and reducing
• system dependencies.

Aug 2022 – Dec 2022 · 4 mos

• Graduated a comprehensive four-month training program encompassing industry-leading technologies such as Java, Spring, JUnit, DBMS, JavaScript, Angular, as well as strengthening fundamentals in Computer Science, Design Thinking, and Critical Thinking.
• Developed a miniature trading application using Java, Spring, Angular, IBM Db2, and REST API to execute trades on behalf of customers within a simulated Exchange Market environment.
• Enhanced an Angular application by onboarding anomaly detection feature. This includes developing charts and tables, enabling users to visually analyze data and detect anomalies, a task previously performed manually

Jan 2022 – Jul 2022 · 6 mos

• Introduced new features into an Angular-based UI application, replacing the previous practice of directly accessing URLs via the browser.
• This entailed developing APIs and implementing business logic within a Spring-based backend application, as well as creating components and an API service to fetch and display data in the UI.
• The result was improved user-friendliness, enhanced data security, and the addition of a data export feature as Excel, previously unavailable.

May 2021 – Jul 2021 · 2 mos

• Added a new tab to an existing React application, replacing the previous command-line access for multiple features.
• This involved developing REST APIs in the Spring backend, creating React components, and implementing API services to retrieve and display data in the frontend UI.
• This transition reduced manual efforts, saved time, and provided an interactive environment for accessing these features.

Nov 2020 – Jun 2021 · 7 mos

• Worked on developing a deep learning powered in-browser Ad-Blocker which blocks advertisement based on the visual cues present in the image.