diff --git a/java/src/main/java/ai/rapids/cudf/HostUDFWrapper.java b/java/src/main/java/ai/rapids/cudf/HostUDFWrapper.java
index 0b6ecf2e140..124f2c99188 100644
--- a/java/src/main/java/ai/rapids/cudf/HostUDFWrapper.java
+++ b/java/src/main/java/ai/rapids/cudf/HostUDFWrapper.java
@@ -24,8 +24,10 @@
  * <p>
  * A new host UDF aggregation implementation must extend this class and override the
  * {@code hashCode} and {@code equals} methods for such purposes.
+ * In addition, since this class implements {@code AutoCloseable}, the {@code close} method must
+ * also be overridden to automatically delete the native UDF instance upon class destruction.
  */
-public abstract class HostUDFWrapper {
+public abstract class HostUDFWrapper implements AutoCloseable {
   public final long udfNativeHandle;
 
   public HostUDFWrapper(long udfNativeHandle) {
diff --git a/python/cudf/cudf/core/column/column.py b/python/cudf/cudf/core/column/column.py
index 30da8727366..19f2802553d 100644
--- a/python/cudf/cudf/core/column/column.py
+++ b/python/cudf/cudf/core/column/column.py
@@ -2413,7 +2413,11 @@ def as_column(
                 and pa.types.is_integer(arbitrary.type)
                 and arbitrary.null_count > 0
             ):
+                # TODO: Need to re-visit this cast and fill_null
+                # calls while addressing the following issue:
+                # https://github.com/rapidsai/cudf/issues/14149
                 arbitrary = arbitrary.cast(pa.float64())
+                arbitrary = pc.fill_null(arbitrary, np.nan)
             if (
                 cudf.get_option("default_integer_bitwidth")
                 and pa.types.is_integer(arbitrary.type)
diff --git a/python/cudf/cudf/tests/test_series.py b/python/cudf/cudf/tests/test_series.py
index f8697c5c6b8..891c0ede9a4 100644
--- a/python/cudf/cudf/tests/test_series.py
+++ b/python/cudf/cudf/tests/test_series.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2020-2024, NVIDIA CORPORATION.
+# Copyright (c) 2020-2025, NVIDIA CORPORATION.
 import datetime
 import decimal
 import hashlib
@@ -3003,3 +3003,12 @@ def test_dtype_dtypes_equal():
     ser = cudf.Series([0])
     assert ser.dtype is ser.dtypes
     assert ser.dtypes is ser.to_pandas().dtypes
+
+
+def test_null_like_to_nan_pandas_compat():
+    with cudf.option_context("mode.pandas_compatible", True):
+        ser = cudf.Series([1, 2, np.nan, 10, None])
+        pser = pd.Series([1, 2, np.nan, 10, None])
+
+        assert pser.dtype == ser.dtype
+        assert_eq(ser, pser)