Summary
Wilson Fearn is an AI Software Engineer with a decade of experience building ML-backed systems across research and production, currently at Pacific Northwest National Laboratory after roles at Overstock and Microsoft. He holds an MS from Brigham Young University, where his thesis on text preprocessing and classification was published at NAACL 2021 and he co-authored multiple ACL/EMNLP papers from work in an applied ML lab. At Overstock he shipped practical models and pipelines—fine-tuned DistilBERT, ViT/ViLT multimodal models, XGBoost reranking, and Dataflow-powered featurization—demonstrating a blend of research rigor and production-focused engineering. At Microsoft he moved from relevance models in Bing to building an internal metrics website used by many data science teams, showing versatility across backend services and ML. His interests span NLP, low-level languages, linguistics, math, and philosophy, reflecting a curiosity that informs both model design and system implementation.
10 years of coding experience
7 years of employment as a software developer
Brigham Young University