diff --git a/CMakeLists.txt b/CMakeLists.txt
index aea9415d69..95a87755b1 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -706,4 +706,5 @@ rocm_create_package(
 )
 
 # Add the experimental subdirectory
-add_subdirectory(experimental/gemm_builder)
\ No newline at end of file
+add_subdirectory(experimental/gemm_builder)
+add_subdirectory(experimental/convolution_builder)
\ No newline at end of file
diff --git a/experimental/convolution_builder/CMakeLists.txt b/experimental/convolution_builder/CMakeLists.txt
new file mode 100644
index 0000000000..f7e2ddc5d8
--- /dev/null
+++ b/experimental/convolution_builder/CMakeLists.txt
@@ -0,0 +1,3 @@
+set(CMAKE_CXX_STANDARD 20)
+
+add_executable(convolution_example convolution_example.cpp)
\ No newline at end of file
diff --git a/experimental/convolution_builder/convolution_builder.hpp b/experimental/convolution_builder/convolution_builder.hpp
new file mode 100644
index 0000000000..074a39c0c2
--- /dev/null
+++ b/experimental/convolution_builder/convolution_builder.hpp
@@ -0,0 +1,31 @@
+#pragma once
+#include "convolution_solution_descriptor.hpp"
+
+#include "ck/tensor_operation/gpu/device/impl/device_grouped_conv_bwd_weight_two_stage_xdl_cshuffle.hpp"
+#include "ck/tensor_operation/gpu/device/impl/device_grouped_conv_fwd_multiple_abd_xdl_cshuffle.hpp"
+
+template<SolutionDescriptorV1 Solution>
+struct ConvolutionBuilder {
+
+    static constexpr auto GetSolution() {
+        if constexpr(Solution::GemmImplementationType_ == GemmImplementationType::XDL) {
+            if constexpr(Solution::ConvolutionDirection_ == ConvolutionDirection::Forward) {
+                return ck::tensor_operation::device::DeviceGroupedConvFwdMultipleABD_Xdl_CShuffle< 2, ck::tensor_layout::convolution::NHWGC, ck::tensor_layout::convolution::GKYXC, ck::Tuple<>, ck::tensor_layout::convolution::NHWGK, float, float, float, float, ck::Tuple<>, float, ck::tensor_operation::element_wise::PassThrough, ck::tensor_operation::element_wise::PassThrough, ck::tensor_operation::element_wise::PassThrough, ck::tensor_operation::device::ConvolutionForwardSpecialization::Default, ck::tensor_operation::device::GemmSpecialization::MNKPadding, 1, 256, 128, 256, 32, 8, 8, 32, 32, 2, 4, ck::Sequence<4, 64, 1>, ck::Sequence<1, 0, 2>, ck::Sequence<1, 0, 2>, 2, 8, 8, 1, ck::Sequence<4, 64, 1>, ck::Sequence<1, 0, 2>, ck::Sequence<1, 0, 2>, 2, 8, 8, 1, 1, 1, ck::Sequence<1, 32, 1, 8>, 8>{};
+            } else if constexpr(Solution::ConvolutionDirection_ == ConvolutionDirection::BackwardData) {
+                return std::tuple<>{};
+            } else if constexpr(Solution::ConvolutionDirection_ == ConvolutionDirection::BackwardWeight) {
+                return ck::tensor_operation::device::DeviceGroupedConvBwdWeightTwoStage_Xdl_CShuffle<2,  ck::tensor_layout::convolution::NHWGC, ck::tensor_layout::convolution::GKYXC, ck::tensor_layout::convolution::NHWGK,    float,     float,     float,     float, ck::tensor_operation::element_wise::PassThrough, ck::tensor_operation::element_wise::PassThrough, ck::tensor_operation::element_wise::PassThrough,                  ck::tensor_operation::device::ConvolutionBackwardWeightSpecialization::Default,    64,    16,    16,     32,   8,   16,   16,    1,    1,  ck::Sequence<4, 8,  1>, ck::Sequence<2, 0, 1>,  ck::Sequence<1, 0, 2>,                   1,              1,              4,      false,  ck::Sequence<4, 8,  1>,  ck::Sequence<2, 0, 1>,  ck::Sequence<1, 0, 2>,                1,              1,              4,      false,           1,           1,   ck::Sequence<1, 8, 1, 8>,                  1>{};
+            } else {
+                return std::tuple<>{};
+            }
+        } else {
+            return std::tuple<>{};
+        }
+    }
+
+
+    std::string GetKernelName() const
+    {
+        return GetSolution().GetTypeString();
+    }
+};
diff --git a/experimental/convolution_builder/convolution_example.cpp b/experimental/convolution_builder/convolution_example.cpp
new file mode 100644
index 0000000000..b60522c49b
--- /dev/null
+++ b/experimental/convolution_builder/convolution_example.cpp
@@ -0,0 +1,22 @@
+#include <iostream>
+
+#include <hip/hip_runtime.h>
+
+#include "convolution_builder.hpp"
+
+// Example of solution description for Forward Conv with default settings
+struct GroupedConvFwdXdlImplicitGemm : public GroupedConvBaseXdl {
+    static constexpr ConvolutionDirection ConvolutionDirection_ = ConvolutionDirection::Forward;
+};
+
+// Example of solution description for Backward Weight Conv with default settings and Split K Two Stage
+struct GroupedConvBwdWeightXdlImplicitGemm : public GroupedConvBaseXdl  {
+    static constexpr ConvolutionDirection ConvolutionDirection_ = ConvolutionDirection::BackwardWeight;
+    static constexpr SplitKSupport SplitKSupport_ = SplitKSupport::SupportedTwoStage;
+};
+
+int main () {
+    ConvolutionBuilder<GroupedConvFwdXdlImplicitGemm> builder;
+    std::cout << builder.GetKernelName() << std::endl;
+    return 0;
+}
diff --git a/experimental/convolution_builder/convolution_solution_descriptor.hpp b/experimental/convolution_builder/convolution_solution_descriptor.hpp
new file mode 100644
index 0000000000..1bfb174600
--- /dev/null
+++ b/experimental/convolution_builder/convolution_solution_descriptor.hpp
@@ -0,0 +1,106 @@
+#pragma once
+#include <iostream>
+#include <concepts>
+
+enum class GemmImplementationType
+{
+    XDL,
+    WMMA,
+    DL
+};
+
+enum class ConvolutionDirection
+{
+    Forward,
+    BackwardData,
+    BackwardWeight
+};
+
+
+enum class GemmPipelineVersion
+{
+    V1,
+    V2,
+    V3,
+    V4,
+    V5
+};
+
+enum class GemmPipelineScheduler
+{
+    Intrawave,
+    Interwave
+};
+
+enum class SplitKSupport
+{
+    Supported,
+    SupportedTwoStage,
+    NotSupported
+};
+
+enum class MergedGroups
+{
+    X16,
+    X8,
+    X4,
+    X2,
+    NotSupported
+};
+
+enum class LargeTensorSupport
+{
+    Supported,
+    SplitBatch,
+    NotSupported
+};
+
+enum class ImplementationType
+{
+    ExplicitDefault,
+    ExplicitMPadding,
+    ExplicitNPadding,
+    ExplicitKPadding,
+    ExplicitMNPadding,
+    ExplicitMKPadding,
+    ExplicitNKPadding,
+    ExplicitMNKPadding,
+    Implicit
+};
+
+enum class ElementwiseOperation {
+    Bias,
+    BiasClamp,
+    Bilinear,
+    Clamp,
+    Scale,
+    PassThrough
+};
+
+
+template <typename T>
+concept SolutionDescriptorV1 = requires {
+    {T::GemmImplementationType_} -> std::convertible_to<GemmImplementationType>;
+    {T::ConvolutionDirection_} -> std::convertible_to<ConvolutionDirection>;
+    {T::GemmPipelineVersion_} -> std::convertible_to<const GemmPipelineVersion>;
+    {T::GemmPipelineScheduler_} -> std::convertible_to<const GemmPipelineScheduler>;
+    {T::SplitKSupport_} -> std::convertible_to<const SplitKSupport>;
+    {T::MergedGroups_} -> std::convertible_to<const MergedGroups>;
+    {T::LargeTensorSupport_} -> std::convertible_to<const LargeTensorSupport>;
+    {T::ImplementationType_} -> std::convertible_to<const ImplementationType>;
+    {T::ElementwiseOperation_} -> std::convertible_to<const ElementwiseOperation>;
+};
+
+struct GroupedConvBase {
+    static constexpr GemmPipelineVersion GemmPipelineVersion_ = GemmPipelineVersion::V1;
+    static constexpr GemmPipelineScheduler GemmPipelineScheduler_ = GemmPipelineScheduler::Intrawave;
+    static constexpr SplitKSupport SplitKSupport_ = SplitKSupport::NotSupported;
+    static constexpr MergedGroups MergedGroups_ = MergedGroups::NotSupported;
+    static constexpr LargeTensorSupport LargeTensorSupport_ = LargeTensorSupport::NotSupported;
+    static constexpr ImplementationType ImplementationType_ = ImplementationType::Implicit;
+    static constexpr ElementwiseOperation ElementwiseOperation_ = ElementwiseOperation::PassThrough;
+};
+
+struct GroupedConvBaseXdl : public GroupedConvBase {
+    static constexpr GemmImplementationType GemmImplementationType_ = GemmImplementationType::XDL;
+};