Summary
Lucas Hope is a senior software engineer with 14 years of experience building production ML and search systems for healthcare supply chains, currently leading full-stack development at Genesis Automation Healthcare. He specializes in machine learning, NLP embeddings and similarity search, product classification and vendor matching, and has modernized legacy Common Lisp services into Python/PyTorch pipelines running on AWS GPU infrastructure. Lucas architected a product-matching service handling over 1.8M vendor items and integrates standards like UNSPSC, HCPCS and FDA AccessGUDID into robust backend services. Comfortable from algorithm design through Docker/Ansible deployment and ongoing production support, he pairs a PhD-level grounding in information theory and Bayesian networks with hands-on engineering across PostgreSQL, REST APIs and Linux operations. Notably, his career blends deep research training with long-term production ownership of domain-specific ML systems that prioritize data normalization and scalable matching at clinical scale.
14 years of coding experience
2 years of employment as a software developer
PhD, Machine Learning, Information Theory, Bayesian Networks, PhD, Machine Learning, Information Theory, Bayesian Networks at Monash University