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Huiwen Cheng

Software Engineer #Computer Vision #Machine Learning Cloud

Huiwen Cheng is a talented Machine Learning Engineer with a strong background in image analysis software and system implementation in real-time environments, both on-premise and on cloud platforms.

Huiwen has specialized in developing image analysis algorithms for defect detection on chips and has extensive experience in optimizing, integrating, and testing image analysis software and framework on both on-premise and cloud setups.

Huiwen excels in deploying and testing machine learning models on cloud infrastructure as well as on-premise systems. Known for being proactive and result-oriented in software and algorithm development, Huiwen possesses exceptional analytical skills and is a quick learner in software development.

Proficient in a variety of programming languages including C++, Python, Go, Java, Matlab, and Javascript, Huiwen is versatile and adaptable in software development. With a solid grasp of operating systems such as Linux and Windows, Huiwen is well-versed in diverse technological environments.

Huiwen Cheng pursued a Master's degree in Computer Science, achieving an impressive GPA of 3.95 out of 4.0 at Purdue University. Additionally, Huiwen holds a Doctor of Philosophy (Ph.D.) in Chemistry from Ohio University, showcasing a multidisciplinary academic background.

Throughout Huiwen's career, notable positions include Software Engineer at Intel Corporation focusing on Vision Metrology, Data Science and Analytics Summer Intern at Pacific Northwest National Laboratory - PNNL, Graduate Research Assistant at Indiana University–Purdue University Indianapolis, and Postdoctoral Researcher at Indiana University School of Medicine. Through these roles, Huiwen has accumulated a wealth of experience and expertise within the tech and research sectors.

Huiwen Cheng
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Location

San Francisco, California, United States