Add TinyTorch Profiler Utility

- Add tinytorch.utils.profiler following PyTorch's utils pattern
- Includes SimpleProfiler class for educational performance measurement
- Provides timing, memory usage, and system metrics
- Follows PyTorch's torch.utils.* organizational pattern
- Module 11: Kernels uses profiler for performance demonstrations

Features:
- Wall time and CPU time measurement
- Memory usage tracking (peak, delta, percentages)
- Array information (shape, size, dtype)
- CPU and system metrics
- Clean educational interface for ML performance learning

Import pattern:
  from tinytorch.utils.profiler import SimpleProfiler

modules/source/utils/__init__.py

@@ -0,0 +1,9 @@
+"""
+TinyTorch Utils Package
+
+Shared utilities for TinyTorch modules.
+"""
+
+from .profiler import SimpleProfiler, profile_function
+
+__all__ = ['SimpleProfiler', 'profile_function']