Summary
Yusen Lin is a Graduate Research Assistant at UMIACS and a second-year ECE master's student at the University of Maryland with eight years of engineering experience spanning NLP, cybersecurity, and web systems. He combines hands-on NLP model development—proposing a Pointwise-Product ReZero Transformer and comparing MLP, LSTM, BiLSTM, and Transformer variants—with practical product work from building medical knowledge bases and production TensorFlow frameworks. His background includes building scalable data pipelines, GPU-parallelized training, and web security tooling that once drove dramatic SEO gains, reflecting a rare mix of research depth and operational impact. Based in College Park, MD, he focuses on extracting structured insights from real-world text (e.g., competitor relationships) and has a track record of improving model performance via clustering and architecture tweaks.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at 厦门大学
Master's degree, Electrical and Computer Engineering, GPA 3.883, Master's degree, Electrical and Computer Engineering, GPA 3.883 at University of Maryland
Chinese