Adedeji Adejumo

Executed audio transcription and annotation for speech recognition models, supporting AI applications in customer service automation with 99% transcription accuracy. Performed semantic segmentation and bounding box annotations on images for healthcare AI, contributing to datasets for medical imaging diagnostics.

Performed text annotation for generative AI models, including entity extraction and sentiment analysis, supporting legal and healthcare applications. Conducted image annotation for medical imaging datasets, using semantic segmentation to label anatomical structures with 99% accuracy.

Performed high-precision image and video annotation for computer vision models, including bounding box, polygon, and semantic segmentation tasks, achieving 99%+ accuracy for client datasets. Labeled and categorized multimodal datasets (images, videos, and text) to support AI applications in autonomous driving and healthcare, using Labelbox’s cloud-based platform.

Grade: 4.85 GPA

Pursued a Master of Science in Cyber Security at Covenant University, gaining advanced knowledge in cybersecurity principles and practices. Maintained an excellent academic standing with a 4.85 GPA.

Grade: 4.2 GPA

Studied Computer Science at the University of Lagos, focusing on foundational concepts and practical applications. Achieved a strong academic record with a 4.2 GPA.