Jun Zhu is a skilled software engineer with a diverse background encompassing software development, research, and engineering roles across various prestigious organizations. At Objectiva Software Solutions, Jun contributed to Java software development for J2EE Web services and integration projects for the banking and insurance sectors. As a researcher and Ph.D. student at KTH, Jun focused on application scheduling, resource management, and prototyping on distributed multiprocessor platforms. Subsequent roles included research engineering at IBM Canada Ltd. and IBM in Ireland, emphasizing resource scheduling for HPC clusters and performance analysis of multi-threaded applications. Currently, Jun is engaged at IBM, working on the Agentic AI framework, LLMs fine-tuning, and machine learning anomaly detection. Additionally, Jun holds a Doctorate in Electronic and Computer Systems from KTH Royal Institute of Technology.
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