Matthew Eyman

BIO

Results-driven AI/ML Engineer with 4+ years of experience building production-grade machine learning APIs, deploying scalable models on AWS, and solving real-world challenges with Natural Language Processing (NLP). Skilled in FastAPI, PyTorch, and Scikit-learn, with hands-on deployment of predictive models using SageMaker, Lambda, and containerized services. Proven ability to drive ML innovation from experimentation to inference with a passion for clean code, performance tuning, and cross-functional collaboration.