Summary
Teryn Jones is an AI software engineer with 11 years of experience specializing in large language models, NLP, and production ML systems, currently driving research at Aleph Alpha. With a track record of cutting training time from weeks to days and tripling inference throughput, Teryn blends research rigor with pragmatic engineering—building distributed preprocessing pipelines in Rust/Python and deploying RAG systems for document-consistent translation. A Kaggle Competitions Expert with top-percentile finishes, they pair strong applied ML skills (LoRA, vLLM, PyTorch) with domain experience in edtech, translation, and recommendation systems. Fluent in Korean and experienced engaging directly with enterprise stakeholders, Teryn also has a background in text mining from Yonsei University and a public GitHub presence focused on NLP research projects.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at Youngstown State University
Master of Library & Information Science - MLIS Text Mining, Master of Library & Information Science - MLIS Text Mining at Yonsei University
English, Korean