Aishwarya Elango developed expanded operator support within the apache/tvm repository by implementing the logaddexp operator in the Relax framework, targeting improved interoperability for PyTorch-exported models. Using C++ and Python, Aishwarya defined and registered the operator across TVM modules, including TIR, TOPI, and Relax, ensuring seamless integration throughout the stack. The work included creating a regression test to validate logaddexp functionality in exported workflows, which enhanced test coverage and stability. This contribution addressed a key gap in operator coverage, laying a foundation for future integrations and performance improvements in compiler development and deep learning model deployment workflows.