diff --git a/tmva/sofie_parsers/src/ParseFuseConvAdd.cxx b/tmva/sofie_parsers/src/ParseFuseConvAdd.cxx
index efdd030d5f596..a3eed11d7e23e 100644
--- a/tmva/sofie_parsers/src/ParseFuseConvAdd.cxx
+++ b/tmva/sofie_parsers/src/ParseFuseConvAdd.cxx
@@ -6,9 +6,72 @@ namespace TMVA {
 namespace Experimental {
 namespace SOFIE {
 
-ParserFuseFuncSignature ParseFuseConvAdd = [](RModelParser_ONNX & /*parser*/, const onnx::NodeProto & /*convnode*/,
-                                              const onnx::NodeProto & /*addnode*/) {
+ParserFuseFuncSignature ParseFuseConvAdd = [](RModelParser_ONNX &parser, const onnx::NodeProto &convnode,
+                                              const onnx::NodeProto &addnode) {
+   if (addnode.input_size() != 2) {
+      throw std::runtime_error("TMVA::SOFIE - Cannot fuse Conv and Add - Add input size is not 2");
+   }
+   std::string name_b;
+   if (convnode.output(0) == addnode.input(0))
+      name_b = addnode.input(1);
+   else if (convnode.output(0) == addnode.input(1))
+      name_b = addnode.input(0);
+   else
+      throw std::runtime_error("TMVA::SOFIE - Cannot fuse Conv and Add - output of Conv is not input to Add");
+
+   ETensorType input_type;
+   auto input_name = convnode.input(0);
+   if (parser.IsRegisteredTensorType(input_name)) {
+      input_type = parser.GetTensorType(input_name);
+   } else {
+      throw std::runtime_error("TMVA::SOFIE ONNX Parser Conv op has input tensor " + input_name +
+                               " but its type is not yet registered");
+   }
+
    std::unique_ptr<ROperator> op;
+
+   std::string attr_auto_pad = "NOTSET";
+   std::vector<size_t> attr_dilations;
+   size_t attr_group = 0;
+   std::vector<size_t> attr_kernel_shape;
+   std::vector<size_t> attr_pads;
+   std::vector<size_t> attr_strides;
+
+   for (int_t i = 0; i < convnode.attribute_size(); i++) {
+      std::string attribute_name = convnode.attribute(i).name();
+      if (attribute_name == "auto_pad") {
+         attr_auto_pad = convnode.attribute(i).s();
+      } else if (attribute_name == "dilations") {
+         attr_dilations = std::vector<size_t>({convnode.attribute(i).ints().begin(), convnode.attribute(i).ints().end()});
+      } else if (attribute_name == "group") {
+         attr_group = convnode.attribute(i).i();
+      } else if (attribute_name == "kernel_shape") {
+         attr_kernel_shape = std::vector<size_t>({convnode.attribute(i).ints().begin(), convnode.attribute(i).ints().end()});
+      } else if (attribute_name == "pads") {
+         attr_pads = std::vector<size_t>({convnode.attribute(i).ints().begin(), convnode.attribute(i).ints().end()});
+      } else if (attribute_name == "strides") {
+         attr_strides = std::vector<size_t>({convnode.attribute(i).ints().begin(), convnode.attribute(i).ints().end()});
+      } else {
+         std::cout << "TMVA::SOFIE Warning - Model Loading - Attribute " << attribute_name << " in OperatorNode "
+                   << convnode.name() << " is not defined in ONNX IR and not applied!\n";
+      }
+   }
+
+   std::string output_name = addnode.output(0);
+   switch (input_type) {
+   case ETensorType::FLOAT:
+      op.reset(new ROperator_Conv<float>(attr_auto_pad, attr_dilations, attr_group, attr_kernel_shape, attr_pads,
+                                         attr_strides, convnode.input(0), convnode.input(1), name_b, output_name));
+      break;
+   default:
+      throw std::runtime_error("TMVA::SOFIE - Unsupported - Operator Conv does not yet support input type " +
+                               std::to_string(static_cast<int>(input_type)));
+   }
+
+   if (!parser.IsRegisteredTensorType(output_name)) {
+      parser.RegisterTensorType(output_name, input_type);
+   }
+
    return op;
 };