I’m Zahid Mehmood, an AI data evaluation expert with experience across image, text, video, and audio evaluation, as well as large language model training. I have contributed to innovative projects at RWS, UHRS, LOFT, and Telus International, focusing on data quality, multilingual annotations, transcription, and model fine-tuning. I thrive on turning messy data into clean signals that help AI systems understand and respond more accurately, and I enjoy collaborating with teams to apply rigorous evaluation methods that improve relevance and user experience.
I am comfortable with a range of evaluation tasks, from OCR and image annotation to audio evaluation and transcription, and I continually seek opportunities to learn new tools and techniques to enhance AI data pipelines.
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