Obialo John

I've built RLHF pipelines, annotated training data in Labelbox, fine-tuned models, and developed agents in the MCP ecosystem. Python, SQL, API integrations, cloud platforms — that's the technical layer. The rest is strategy: running AI training programs, designing evaluation frameworks, and building skills frameworks that help teams actually use the tools they have

Implemented AI systems for client needs by designing end-to-end data labeling/annotation workflows for computer vision, NLP, and generative AI, achieving 98–99% quality scores. Conducted prompt evaluation and RLHF response rating for safety, factual consistency, coherence, and helpfulness; completed advanced LiDAR point cloud annotation and 3D semantic segmentation with top-10% validation accuracy

Supported end-to-end AI model development by preparing data, running labeling workflows (including Labelbox), and performing quality assurance for machine learning pipelines. Collaborated with AI teams to improve data quality standards and annotation guidelines, contributing to evaluation and refinement of AI outputs across 1,200+ prompts.

Assessed online search results to enhance their quality, analyzed and rated content relevance to search terms, and reviewed language for grammar, tone, and cultural appropriateness.

Earned a Bachelor of Medical Laboratory Science (BMLS) from Nnamdi Azikiwe University, graduating in 2023.