olumide abayomi

I’m a detail-oriented Visual Data & Product Specialist with 4+ years of experience across AI data annotation, product management, and structured data operations. I interpret complex requirements, manage datasets, and deliver high-quality outputs for both machine learning systems and product environments, with a strong focus on improving accuracy, efficiency, and delivery outcomes.

In AI data annotation, I annotated large datasets (text, images, audio) and performed quality checks—improving data accuracy by 85%—while collaborating to refine annotation guidelines for consistency at high volume. In product roles, I defined product vision, managed Agile backlog prioritization, and led product lifecycles from ideation to launch, reducing rework by 20–30% and improving delivery timelines to 85–90%, with user testing that increased feature adoption by 10–15%.

I also bring structured, compliance-driven rigor from my microbiology background, where I validated test results and maintained strict documentation and reporting protocols. Across operations, I’ve designed SOPs and processes that improved efficiency by 15–20% and reduced delays by 15–25% through better planning—always pairing execution with measurable KPIs and cross-functional collaboration.