Summary
Lewis Shi is a software engineer and Master's student at the University of Washington specializing in AI and machine learning with a strong foundation in algorithmic design and object-oriented development. He brings around a decade of experience combining industry roles and undergraduate research, notably building C++ image-processing pipelines for LiDAR and satellite imagery and developing Java/C# systems for mapping and test tooling. Comfortable across Windows, Linux, and Unix, he implements end-to-end solutions from data ingestion and processing to RPM-based deployment and responsive UIs. Lewis pairs practical engineering—automating imagery ingestion and database client installs to save operational hours—with graduate-level ML coursework and hands-on TensorFlow/Scikit use. His background in geospatial processing and systems automation gives him an edge in applied ML problems that require both engineering rigor and domain-specific data handling. Known for clear communication and strong math skills, he thrives on turning complex data sources into robust, extensible software.
10 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science, 3.85, Master's degree, Computer Science, 3.85 at University of Washington
Bachelor of Science, Computer Science, GPA: 3.55/4.0, Bachelor of Science, Computer Science, GPA: 3.55/4.0 at Florida International University