During January 2025, Akshay Khobare enhanced the quic/aimet repository by developing a Quantization Encoding Computation Context Manager within the _V1QuantizerMixin class, focusing on improving the quantization path for AMP v2. Using Python and leveraging backend development and performance optimization skills, Akshay addressed a slowdown issue by ensuring encoding computations are properly managed when quantization is enabled. This technical approach restored runtime performance and improved the reliability of encoding processing in production inference pipelines. The work also included enhancements to maintainability and documentation, laying a foundation for future optimizations and supporting robust quantization workflows in AMP v2 environments.