About

Rachel (Weizhuo) Wu is a highly experienced Software Engineer currently working at Square. With almost a decade of relevant experience, Rachel is an expert in Python and normalization. Rachel's past experience includes working as a Software Engineer at Lyft and a Software Developer at Susquehanna International Group. During her time at Susquehanna International Group, Rachel developed a high-performance real-time market data filtering and normalization framework for downstream consumption by low-latency trading system using C++. She also implemented and maintained a highly efficient real-time market data parser library used widely across the firm for parsing market data feeds using C++. Rachel designed and implemented a framework for exchange reference data collection using Python and created a REST API service for managing compute resources on backtest cluster using Python. Additionally, she incorporated code generation into market data parser library reducing parser development time by 60-100% using Python and Jinja. Rachel also standardized and automated software release and deployment conventions using CMake and Bash. Rachel's educational background includes a Master's degree in Computer and Information Technology from the University of Pennsylvania and a Bachelor's degree in Telecommunication Engineering from Beijing University of Post and Telecommunications. As a Software Engineer at Square, Rachel continues to utilize her expertise in Python and normalization to develop innovative solutions. She is a highly skilled professional with a proven track record of delivering high-quality results.