Cheng Jiang is an accomplished software developer and engineer with experience in leading-edge technology and machine learning applications. At Carnegie Mellon University, Cheng implemented various classic machine learning algorithms and improved clustering accuracy. While at University of Wisconsin-Madison, Cheng focused on circuit analysis, extracting lumped elements for simulation modeling. Cheng achieved significant efficiency gains at Mastercard by optimizing server connection times through innovative scripting and played a key role in the DevOps security system. Currently, as a Software Engineer II at Meta, Cheng is involved in enhancing the Lead Ads product, contributing to Meta's revenue growth and optimizing full-stack solutions across multiple platforms. Cheng holds a Master's degree in Electrical and Computer Engineering from Carnegie Mellon University and a Bachelor's degree in Electrical and Electronics Engineering from Missouri University of Science and Technology.
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