Can Wang is an AI software engineer with eight years of experience blending machine learning, data engineering, and software development across academia and industry. With a Master’s in Information Technology from Monash and roles spanning data engineer, AI engineer, and research assistant, he builds scalable ML systems using PyTorch, LangChain, Azure ML and SageMaker. He has hands-on expertise in LLM RAG, AI Agents, fine-tuning and prompt engineering, and designs robust cloud-based data pipelines underpinned by MongoDB and MySQL. His background includes leading a university research project and production work at an edtech company, giving him a pragmatic focus on solving real-world problems. Now at Inspur Group, he combines algorithm optimization skills in Python, Java, SQL and C++ with an emphasis on performance and deployability. Less obvious: he bridges research and product delivery, moving prototypes from academic experiments into operational ML services.
8 years of coding experience
3 years of employment as a software developer
Bachelor's Degree, Software engineering, Bachelor's Degree, Software engineering at Qilu University of Technology
Master's degree, Information Technology, Master's degree, Information Technology at Monash University
An online judge system built on node.js and vue. 一个基于Node.js和Vue的在线判题平台.
Contributions:198 commits, 1 PR, 64 pushes in 4 months
vue-jsnode-jsonline-judgejavascriptjudge-system
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