Ming Ming is a Senior Software Engineer based in the San Francisco Bay Area with a decade of experience building backend, risk and payment systems and production ML pipelines. He’s fluent in Python, Java and Go and has designed low-latency fraud detection and real-time decisioning services at scale using streaming (Flink/Kafka) and batch (Spark/Airflow) data platforms. His work spans fintech and gaming—driving monetization and payment reliability for high-grossing mobile titles and now applying AI in FinTech at Brex—alongside prior contributions to observability and data center telemetry. Comfortable across microservices, big data stores (Hive/Cassandra) and model deployment, he blends systems engineering rigor with practical ML integration to reduce false positives and improve business outcomes. Trained at Tsinghua and Northeastern, he brings both deep systems roots and a product-focused mindset that surfaces subtle signal engineering improvements often missed in large pipelines.
8 years of coding experience
11 years of employment as a software developer
Master's degree Computer Engineering, Master's degree Computer Engineering at Northeastern University
Bachelor of Engineering - BE, Bachelor of Engineering - BE at Tsinghua University
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