Appen
Images classification, audio recording
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I have hands-on experience in AI training data projects, focusing on data labeling, transcription, and quality assurance for audio, image, and text. At Meta (2023–2024), I contributed to voice recording, dataset labeling, and correction, ensuring accuracy and consistency for large-scale AI models. At ByteDance (2024), I worked on audio recording, transcription, and labeling, directly supporting the refinement of speech recognition and natural language processing systems. More recently, at Appen (2024), I collaborated as a prompt engineer, designing and evaluating prompts to optimize the performance of generative AI models. Through these roles, I have developed strong skills in data annotation, QA, and AI model support, always ensuring the reliability and precision of training datasets. My multidisciplinary background and adaptability allow me to contribute effectively to teams building and scaling next-generation AI systems.
Images classification, audio recording
IA development
Bachelor's in Social Sciences, Social Sciences
Bachelor's in Computer Engineering, Computer Engineering
Software Developer and Technical Director
Junior Software Programmer and Product Engineer