Oluwafemi Ogunleye

I’m a detail-oriented Full-Stack Developer and Data Annotator with strong experience building scalable web applications and preparing high-quality datasets for AI and machine learning models.

I design and develop responsive, production-ready applications using React.js, Node.js, and MongoDB, and I build RESTful APIs for frontend functionality and third-party integrations. In my current role, I optimize backend performance and reduced API response time by 30%, while leading reusable UI component libraries using Agile development practices.

On the AI data side, I annotate large datasets for computer vision and NLP, creating bounding boxes, segmentation masks, and key point annotations. I also label text for sentiment analysis, named entity recognition (NER), and classification, performing quality control and validation to keep annotation accuracy high.

I’ve also worked on audio datasets for speech-to-text and conversational AI, including speaker identity tagging, timestamps, and audio event labeling. I align audio and text for multimodal evaluation and use thorough QA processes to improve dataset quality and training outcomes.