Summary
Blair Gemmer is a founder and solutions engineer with 12 years of experience designing data-driven, human-centered systems that blend automation, cloud infrastructure, and ML-inspired thinking. He’s built production AI and ETL pipelines, telehealth and education platforms, and SaaS products—often owning architecture, DevOps, and observability end-to-end using Python, AWS, Docker, and serverless patterns. His background in bioinformatics and simulation informs a systems-thinking approach: he models complexity to reveal structure and reduce noise so automation amplifies human judgment. As an independent consultant and founder of multiple ventures, he’s delivered everything from enterprise Snowflake-to-Salesforce ETL to media library de-duplication tooling and open-source Python utilities. Blair is quietly obsessed with practical guardrails for AI augmentation—building auditability and context retrieval into augmentation layers rather than replacing human decision-making. Based in Montana, he pairs technical rigor with a habit-driven mindset reflected in his side projects, fitness discipline, and experimental home fermenting.
12 years of coding experience
19 years of employment as a software developer
Master's Degree Computer Science, Master's Degree Computer Science at University of Montana
English, German