Summary
Zhu Pengjun is an algorithm engineer with nine years of experience focused on NLP, machine learning and production deployment, currently driving ML infrastructure and hot-topic mining at JD's foundation architecture team in Chengdu. He combines hands-on Python and Java development with big data tooling (Hive, Spark/Scala) and production ML serving (Tornado, TF-Serving), plus SpringBoot backend work. His background includes algorithm research and backend development internships at Baidu and AI model tuning at Analysys, reflecting a balance of research and production skills. Trained with a master's in Computer Software Engineering, he is comfortable moving models from prototyping into scalable services. Notably, he blends classical classification and deep-learning techniques with practical data pipelines for real-world recommendation and classification tasks. Friendly "Hello, world!" on GitHub hints at a pragmatic, engineer-first approach to problem solving.
9 years of coding experience
硕士, Computer Software Engineering, Top 30/100, 硕士, Computer Software Engineering, Top 30/100 at Southwest Petroleum University