Summary
Rhitabrat Pokharel is a PhD candidate and NLP researcher with eight years of experience applying machine learning to spoken and low-resource languages, currently advancing multilingual and generalization studies in large language models at Portland State University. He brings hands-on industry experience building production ML tools—from MT post-editing and quality estimation at LanguageLine to RAG and symbolic reasoning in healthcare at Optum—and has interned on RL and data augmentation projects at Intel. A seasoned educator, he has taught multiple NLP and algorithms courses and reviews submissions for top NLP conferences (ACL/EMNLP/COLING), which informs his rigorous, reproducible research practice. His work blends empirical scaling analyses and distribution-shift investigations with practical system design, and he has a track record of turning research insights into tooling that improves translation workflows and model decision costs. Notably, he couples academic depth with product-minded engineering, often focusing on measurable improvements in low-resource settings.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Portland State University
Nepali, English, Hindi, Japanese, French, German, Urdu