Braden Roberson-mailloux is an AI/ML-focused Research Data Specialist with nine years of experience designing, automating, and scaling data pipelines across AWS, GCP, Azure and hybrid environments. He specializes in turning messy, legacy workflows into production-grade ETL systems using Python, SQL, PySpark and CI/CD, and currently advises California’s Department of General Services on data architecture, lineage, and governance. Braden blends a rigorous analytics background with hands-on engineering—building NLP-driven taxonomy tools, multithreaded Python utilities, and serverless APIs—to make research and policy work faster and more reproducible. He’s mentored junior analysts, enforced methodological rigor for regulated datasets, and prototyped LLM integrations in containerized environments, demonstrating strength at the intersection of research, compliance, and scalable engineering.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Applied Mathematics, Bachelor of Applied Mathematics at San Francisco State University
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Braden Roberson-mailloux - Research Data Specialist 2