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Scale AINo subject matter listed
Computer Code Programming
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TextQuality control of datalabeling projects of different types and in different languages. Where I met and learned a lot among them are: prompt and response generation and refinement (Python, SQL, C#, JavaScript, TypeScript) with a focus on data science and software engineering. Data structure generation projects (Json, xml, yaml), model refinement for APIs (python), Step-By-Step projects.
Model refinement to address data science tasks, creating prompts and improving model responses, also using the ds1000 standard.
Models were trained with different apis looking for the correct use of each one, looking for answers based on user prompts and looking for edge use cases, and how to deal with them.
degree in software engineering, Software Engineer
Associate Degree in Construction Management, architecture
Quality Assurance Specialist
Developer
