Graduate researcher at the Visual and Spatial Gradient Lab under Prof. Suryansh Kumar, focusing on continual learning for optical flow, stereo, and depth estimation. Developing models to enhance knowledge transfer and mitigate catastrophic forgetting in multi-task learning scenarios.

• Implemented end-to-end CRUD APIs for a CQRS pattern-based microservices application, optimizing data flow and enabling

the system to handle over 10,000 requests per minute with minimal latency, significantly boosting system responsiveness.

• Spearheaded the refactoring of legacy .Net framework code to .Net core for inhouse applications, attaining a 30% increase in

application performance and reducing the technical debt.

• Developed unit test cases with Xunit, increasing code coverage from 15% to 85%, strengthening code reliability.

• Redesigned and optimized SQL code to seamlessly integrate new business logic, boosting search response times by 70%,

which revamped user experience and operational efficiency.

Selected as a GSoC Contributor by Department of Biomedical Informatics, Emory University.