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VideoI have extensive experience supporting SaaS platforms and backend systems, where I managed data accuracy, account setup, and workflow configuration for a wide range of merchants and clients. My background includes hands-on onboarding, technical troubleshooting, and quality assurance for booking and payment flows, ensuring precise implementation and compliance with business requirements. I am highly skilled in documenting processes, managing confidential information, and collaborating with cross-functional teams using tools like Salesforce, Jira, Slack, and Google Workspace. My work has required a keen eye for detail, especially when validating data such as ticket inventory, pricing, and campaign settings, which translates well to data labeling and annotation roles. I am adept at maintaining clear communication, resolving issues efficiently, and supporting large-scale data operations in fast-paced, customer-centric environments.
Reviewed AI outputs to identify hallucinations, logical inconsistencies, and safety issues. Provided structured feedback and ratings to help improve model alignment, response quality, and reliability.
Wrote prompts and ideal responses used for supervised fine-tuning of language models. Designed prompts that tested reasoning, comprehension, and instruction-following ability while generating high-quality responses to improve model training datasets.
Annotated images by drawing bounding boxes around objects and assigning the correct labels to each object. Verified the correct classification and localization of visual elements used for computer vision training datasets.
Annotated images by attaching correct labels to highlighted visual elements. Verified the correct identification of objects within images and ensured consistent categorization of visual components used in machine learning training datasets.
Collected and curated datasets of celebrity images for computer vision training tasks. Gathered large sets of clear photos representing the same individual across different poses, angles, and lighting conditions. Verified identity accuracy and image clarity to ensure the dataset met training requirements for visual recognition systems.
Bachelor of Science, Software Engineering
Bachelor of Arts, Film and Video Production
Operations, Client Support & Consulting
Business Development Representative
