Worked on the facebook/fbthrift repository to enhance reliability and performance in the Thrift processing path by introducing a multi-threaded sample processing offload. This approach separated sample processing from the main Thrift handler, preventing asyncio task starvation and improving overall throughput. The work also included adding configurable task expiration and client timeout settings, allowing the backend to maintain robustness and fault tolerance under varying load conditions. Focused on architectural improvements rather than bug fixes, the implementation leveraged Python, asynchronous programming, and Thrift to address scalability and resilience, resulting in a more reliable backend service capable of handling demanding workloads efficiently.