Karthik Kannan enhanced the DecomposePower transformation in the tenstorrent/tt-tvm repository, expanding its capability to handle fractional exponents up to 0.75. Using Python, he applied operator decomposition and code refactoring techniques to implement a method that decomposes exponent 0.75 by chaining two square roots and a multiplication, moving beyond the previous single-square-root approach. This change improved the backend’s ability to generate accurate code for models requiring non-integer exponents. Karthik also refined error messaging for unsupported exponents, reducing debugging time and clarifying usage. His work demonstrated careful numeric reasoning and maintainability in the compiler’s transformation path.