Summary
Meng Zeng is a software engineer with nine years of experience specializing in information retrieval, search relevance, and natural language processing, grounded in strong C/C++, Java, Scala, and Python skills. He applies large-scale data frameworks like Spark and Hadoop alongside Lucene-based search stacks to tune relevance and extraction pipelines. Educated through a Ph.D. in Electrical Engineering from Texas A&M and technical degrees from UESTC, he blends academic rigor with practical system-building. Based in Chengdu, he bridges research-level understanding and production engineering, often focusing on performance-sensitive, low-latency search problems. Notably, his profile reflects a dual academic and engineering identity—aligned with an associate professor persona on GitHub—underscoring a capacity to both publish ideas and implement them in code.
9 years of coding experience
Chengdu NO.7 High School 成都市第七中学
Ph.D., Electrical Engineering, Ph.D., Electrical Engineering at Texas A&M University
B.S, 2004, B.S, 2004 at University of Electronic Science and Technology of China
Chinese, English