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AWS SageMaker
Scale AI
V7 Labs
Labelbox
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VideoDuring my work at Mavn AI, I led data-labeling projects from start to finish, crafting clear annotation guidelines for both code (like function classification and bug tagging) and text (entity extraction and sentiment labeling). I used tools such as Labelbox and custom interfaces to train and mentor a team of annotators, implemented QA processes that cut errors by 30%, and collaborated closely with ML engineers to refine ambiguous cases—ensuring high-quality datasets that sped up our model training and boosted real-world performance
100 person team oversight - hands on annotation and QA development to control errors on the side of the annotators
RLHF & Prompt engineering - Managed a team of 25 annotators
Bachelor's in Business management, Business Management and Innovation
Roberto S. hasn’t added any Work History to their OpenTrain profile yet.
