AI annotator
The project was to evaluate image-to-text description output from AI models giving feedback for each choice.
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Lead Developer (Project-Based) — software simulator development with logic testing and output evaluation. Professional background includes roles such as Lead Developer (Project-Based) and Data Science Researcher. Core strengths include Other. Education includes Bachelor of Science, University of Uyo (2027). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.
The project was to evaluate image-to-text description output from AI models giving feedback for each choice.
The project was about isolating a certain region in an image using a bounding box. I also had comparative tasks to review text-to-image output by different AI models.
I was tasked to evaluate AI model responses and rate them on different evaluation conditions.
Conducted rigorous logic testing to validate simulation outputs against live data streams. Evaluated high-complexity dataset behavior to ensure reliability of results for decision-making. Performed accuracy checks by comparing predicted RNG outcomes with observed data patterns. • Designed and executed validation procedures • Assessed output consistency with incoming data • Documented findings for improved logic accuracy • Ensured simulation correctness through iterative testing
Bachelor of Science, Computer Engineering
Network and Technical Specialist
Data Science Researcher