I was on the Messenger Core team, specifically working on a cross-platform data-syncing library in C++.
•Reduced Messenger background data usage by 1-2% overall by using Invertible Bloom Filters for set reconciliation. Previously, to reconcile the client's data with the server, the server would send down the entire dataset. With this change, the client sends up a bloom filter of the hashes of the objects it has, and the server probabilistically decodes this and sends down the missing/changed objects.
•Optimized state logic and throttling to reduce round-trip requests
•Benchmarked and investigated Zstandard dictionary compression for the library and wrote a script to train zstd dictionaries from production data
•Investigated the internals of Flatbuffers vs Thrift to debug why Flatbuffers were larger for the same schema
•Prevented leaks of internal URLs in open-source documentation by transforming URLs in the document generator
•Added logging to track library data usage