Alexandr Guzhva, an expert in performance optimization, joined Zilliz to outcompete its competitors and fully utilize his expertise. With over 15 years of experience in finance and two years at Meta, he has contributed significantly to the FAISS library and written more than 2 million lines of code. Zilliz's focus on advanced similarity search methods and integration with NVIDIA Raft attracted him to the company. His goal is to improve Zilliz products and contribute to Milvus OSS, potentially applying his knowledge of ANNS for time series prediction in the future.