B
Bachelor of science in information technology
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Successfully curated and annotated 15,000+ high-fidelity images using CVAT to train a computer vision model for autonomous delivery drones. Engineered strict quality control pipelines, including consensus scoring and multi-reviewer verification, which boosted dataset accuracy to 99.2%. Collaborated directly with machine learning engineers to identify edge cases, reduce dataset bias, and resolve label ambiguities. This high-quality data directly accelerated model convergence by 25% and reduced post-deployment object classification errors by nearly one-third.
Degree not specified
IT support