About

Allen Roush is a Principal Machine Learning Architect with a specialization in Natural Language Processing (NLP), Argument Mining, and Model Explainability. He is an NLP researcher with a keen interest in taking Transfer Learning based search/summarization to the next level. Allen is currently working at Oracle as a Principal Machine Learning Architect in the Oracle Cloud Infrastructure (OCI) division, where he is responsible for all things involving NLP, Large Scale Language Modeling, and AI Evangelism. Allen has previously worked as a Machine Learning Engineer at Oracle, where he worked on Oracle's customer-facing cloud-based Machine Learning platform, Accelerated Data Science (ADS). While at Oracle, he also worked with Oracle Labs on related technologies such as MLX (Machine Learning Explainability) and Oracle AutoML. Allen has also worked as a Data Scientist at Intel, where he used NLP techniques to build recommender systems and improved Model Explainability techniques for Black-Box ML models. He was also responsible for sourcing and training language models for company-specific objectives. Allen holds a Bachelor's Degree in Computer Science from the University of Oregon, where he graduated in 2018. He has 5.86 years of relevant experience in ML, Senior Software Engineering, NLP, Data Science, AI, Research Science, Search, and language models. Allen has a Github profile where he shares his work and contributions to the tech community. He is also a member of the Hugging Face community, where he shares his expertise in NLP. Allen's passion for NLP and Model Explainability has led him to make significant contributions to the ADS codebase, expanding NLP and related explainability features. His contributions have been included as part of the coursework for the OCI Data Science Professional Certification. Allen is a dedicated and experienced Machine Learning Architect with a passion for NLP and Model Explainability, making him a valuable asset to any team.