Summary
Yifan Mao is a Columbia-educated computer engineer specializing in backend development, distributed systems, and applied AI, with four years of hands-on experience building real-time data pipelines and production services. At JD.com he implemented Kafka+Flink analytics and Kubernetes cost optimizations that cut incident response time and infrastructure spend while improving sales forecasting accuracy. As a researcher, he combined pointer networks with large language models to boost code-completion accuracy by 12% and helped organize an international research conference. His projects span practical tooling—like a LaTeX/PDF translator integrated with Tencent’s API—and consumer-facing ML apps that identify ingredients and cooking steps with >90% accuracy. Comfortable bridging research and production, he brings a blend of algorithmic rigor and operational pragmatism, plus a global perspective from work in Macau and New York.
4 years of coding experience
Bachelor of Science - BS, Software Engineering, Bachelor of Science - BS, Software Engineering at 澳门科技大学
Master of Science - MS, Computer Engineering, Master of Science - MS, Computer Engineering at 美国哥伦比亚大学
High School Diploma, Science and Technology, High School Diploma, Science and Technology at Henan Experimental High School