• Developed Python scripts to store 40k+ historic static data for China’s stock and futures market in MongoDB databases daily,
improving data retrieval speed by 35% and boosting the efficiency of quantitative trading models.
• Implemented a C++ data conversion tool to process extensive data streams from compressed files, enabling the reconstruction of Indian futures order books within the match engine, which increased data processing throughput by 40%.
• Engineered and optimized CMake scripts to compile NSE, reducing build times by 25% and enhancing integration with the match engine for more reliable trading operations.