Summary
Zachary Warnes is a Machine Learning Engineer with 11 years of experience and an MSc in Data Science, building production-first AI systems that bridge raw data, scalable pipelines, and LLM-driven retrieval. He has shipped cloud-native ML infrastructure across Azure, AWS, and GCP, engineered event-driven data platforms processing terabytes of geospatial and IoT sensor data, and deployed RAG and vector-search systems used by hundreds of scientists and engineers. His background spans healthcare, geoscience, and low-resource NLP research—where he fine-tuned open-source LLMs and established evaluation frameworks for bias and cultural appropriateness. Known for combining software engineering rigor with deep ML expertise, Zach prioritizes observability, reproducible training, and lightweight inference strategies that make models usable in real teams.
11 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Master of Science - MS at Maastricht University
International Asian Studies Program, Computer Science, International Asian Studies Program, Computer Science at Chinese University of Hong Kong
Bachelor of Science (B.Sc.), Bachelor of Science (B.Sc.) at McGill University
English, French