Summary
Evan Peterson is a Senior Applied Scientist with nine years of hands-on experience building ML-driven products, MLOps platforms, and cloud-native data infrastructure across healthcare and conversational AI domains. He has designed and shipped LLM platforms, multi-modal vector search, RAG chatbots, and edge ML solutions trained on synthetic data—often turning research ideas into production-grade services that save clinicians hours of work. Comfortable across Python, TypeScript, AWS/GCP, PyTorch, and modern data stacks, he combines deep learning know-how with software engineering and CI/CD best practices to deliver clean MVPs. Evan’s background includes leading HIPAA-compliant ML platforms, migrating ML workloads between clouds, and inventing few-shot meta-learning intent classifiers that dramatically cut training time and cost. He pairs a growth-minded, collaborative approach with a knack for pragmatic context engineering to keep LLMs accurate and cost-effective. Based in the United States, he balances production focus with academic rigor from an MS in Computer Science and active experimentation visible on his GitHub.
9 years of coding experience
10 years of employment as a software developer
Bachelor of Science - BS Management Information Systems Minor in Computer Science, Bachelor of Science - BS Management Information Systems Minor in Computer Science at Utah State University
Associate’s Degree General Studies, Associate’s Degree General Studies at Salt Lake Community College
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Brigham Young University