Summary
Mikiko Bazeley is a Staff Developer Advocate and applied AI engineer with a decade of experience helping teams build and ship production-grade ML and GenAI systems. She blends hands-on MLOps and cloud-native engineering (GCP/AWS, BigQuery, VertexAI) with developer relations, GTM, and content strategy to accelerate developer activation for high-growth AI platforms. Her background spans startups to enterprise—driving product launches, ecosystem partnerships, and developer education at companies like Fireworks AI, Labelbox, and Intuit—while also authoring technical guides and conference talks that demystify feature stores, model lifecycle, and GenAI best practices. Known for translating real-time community feedback into product improvements, she pairs analytics-driven growth work (BigQuery/Looker funnels) with practical onboarding tooling that reduces friction. Based in San Francisco, she brings a rare combination of ML engineering rigor and storytelling craft—plus a penchant for playful technical branding (a self-described “First of Her Name”) that makes complex AI more approachable.
10 years of coding experience
5 years of employment as a software developer
University of California, San Diego
Bootcamp Data Science - Natural Language Processing, Bootcamp Data Science - Natural Language Processing at Springboard