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Label Studio
Appen
CVAT
Document
Text
Audio
Bounding Box
Classification
Object Detection
Text Summarization
Transcription
Data Collection
Question AnsweringSenior Product Designer in Contract Review, Compliance, and Legal Research. Brings 8+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Education includes Bachelor of Science in Education, University of Ilorin (2017). Well suited for text-focused AI training, including legal document review, compliance annotation, and rubric-based quality evaluation.
TextText SummarizationOn this project, I reviewed long pieces of text and created concise summaries that captured the main points without changing the meaning. I focused on removing unnecessary details while keeping the important context. I also checked that each summary was readable, accurate, and did not introduce information that was not in the original text.
AudioTranscriptionOn this project, I listened to audio clips and transcribed the spoken words as accurately as possible. I paid attention to accents, pauses, unclear speech, background noise, and speaker changes where required. I also marked unclear sections properly instead of guessing, which helped keep the training data clean and reliable.
ImageBounding BoxOn this project, I drew bounding boxes around specific objects in images. I made sure the boxes were tight, accurate, and consistent across the dataset. I also reviewed edge cases such as cropped objects, small items, and objects that appeared in groups, making sure the final annotations followed the quality standard.
ImageObject DetectionOn this project, I labelled objects in image datasets so they could be used for computer vision training. I identified the target objects, checked visibility, and made sure each object was labelled according to the project rules. I paid attention to partially hidden objects, overlapping items, and cases where the image quality made the object unclear.
TextClassificationOn this project, I classified user queries into the right categories based on intent. I reviewed each text carefully to understand what the user was actually asking for, not just the keywords used. This included sorting queries into categories like support request, product question, complaint, account issue, or general information.
Bachelor of Science in Education, Educational Technology
Senior Product Designer
Senior Product Designer
