Summary
Kyle Cheng is a UC Berkeley computer science graduate and versatile software engineer with eight years of hands-on experience building production voice apps, research-grade computer vision pipelines, and open-source tooling. He has shipped consumer-facing Alexa skills for major brands and independent projects, and deployed scalable backends using AWS Lambda and S3. In academic settings at MIT and Berkeley he developed automated image segmentation and ML models for biomedical imaging, significantly reducing manual work for researchers. As an open-source contributor with the Berkeley Institute for Data Science, he worked alongside Project Jupyter and SciPy maintainers to improve reproducible data-science workflows and contributor guides. Based in the Bay Area, he combines practical product instincts with research rigor and a track record of turning prototypes into usable tools. An understated strength is his ability to make complex imaging pipelines accessible through simple GUIs and well-documented guides, enabling non-experts to leverage advanced methods.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of California, Berkeley
High School Diploma, High School Diploma at James Logan High School
Chinese, English