Florence gbolagun

Refined AI models through supervised training and active learning, curated fine-tuning datasets for language generation, and conducted QA to identify data inconsistencies.

Prepared and cleaned raw data, built balanced datasets, and classified content for sentiment and opinion models to reduce dataset bias and improve training outcomes.

Collected, organized, and annotated text, audio, image, and video data to build high-quality training datasets and created annotation guidelines, improving dataset consistency and searchability.

Transcribed and labeled audio, annotated video frames and text to support speech recognition and activity recognition models, and developed metrics to measure annotation impact on model performance.

Performed audio transcription and provided feedback on annotation tools to improve workflows and annotation quality across projects.

Labeled images for object detection and segmentation, transcribed audio for speech models, and ensured annotated data met accuracy and consistency standards.

Organized meetings and travel, prioritized client communications, and maintained accurate project databases and digital filing systems to streamline operations.

Scheduled meetings and travel, managed client emails and digital files, and maintained client and project databases to improve administrative efficiency.

Grade: Second Class Upper

Completed a Microbiology program and graduated with Second Class Upper division in 2024.

Completed Senior Secondary Certificate Examination program between 2017 and 2020.

Completed Junior Secondary education program between 2014 and 2016.

Completed primary education, culminating in BECE in 2014.