Kevin Arvai is a Principal Engineer and data scientist with 11+ years of experience applying machine learning and deep learning to clinical genomics and molecular diagnostics. He has led teams and built production-grade ML solutions—from multimodal cancer classifiers and qPCR deep-learning algorithms to NLP pipelines that cut clinical curation time—while authoring reusable Python packages adopted across cross-functional teams. A longtime open-source advocate, he develops and maintains Imputer for genome imputation and regularly contributes Kaggle kernels and GitHub projects that bridge research and production. Based in Alexandria, VA, he combines hands-on HPC and cloud optimization with domain expertise in bioinformatics, and his background as a histotechnologist gives him rare end-to-end perspective from lab assays to deployed ML.
11 years of coding experience
15 years of employment as a software developer
Certificate Histologic Technology/Histotechnologist, Certificate Histologic Technology/Histotechnologist at Indiana University Bloomington
Deep Learning Nanodegree Artificial Intelligence, Deep Learning Nanodegree Artificial Intelligence at Udacity
Bachelor of Science (B.S.) Biology General, Bachelor of Science (B.S.) Biology General at Lycoming College
Master of Science (M.S.) Biomathematics Bioinformatics and Computational Biology, Master of Science (M.S.) Biomathematics Bioinformatics and Computational Biology at George Mason University
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Kevin Arvai - Senior Engineer, Machine Learning at BTI360