Prompt Refiner
This project is a high-stakes adversarial red-teaming operation where we are systematically attempting to trigger logical collapses or instruction-following failures in state-of-the-art AI models.
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I bring over 8 years of experience working with emerging AI tools and post-production workflows, specializing in transforming raw, unstructured data—such as video footage and audio—into high-quality, structured content. My background in fast-paced video editing for gaming, tech, and Web3 projects has given me hands-on expertise with cutting-edge AI platforms like Runway, Pika, Descript, and ElevenLabs, where I’ve implemented AI-assisted processes to streamline data annotation and labeling tasks, improving turnaround times by up to 40%. I am skilled at distilling complex visual and audio information into clear, actionable datasets, and am comfortable managing large volumes of multimedia data for training and optimization purposes. My experience bridging technical concepts and creative storytelling ensures that I can deliver precise, context-aware annotations that enhance AI model performance for computer vision and audio-based applications.
This project is a high-stakes adversarial red-teaming operation where we are systematically attempting to trigger logical collapses or instruction-following failures in state-of-the-art AI models.
Executed large-scale audio data acquisition projects, recording high-quality voice samples and diverse environmental background noise for AI model training. Maintained strict adherence to acoustic protocols, ensuring clear signal-to-noise ratios and consistent audio leveling across various recording environments. Managed the categorization and metadata tagging of audio files to facilitate the development of robust Speech-to-Text (STT) and noise-cancellation algorithms.
Delivered verbatim and cleaned audio transcriptions for complex recordings, maintaining a high degree of accuracy and attention to linguistic nuance. Demonstrated proficiency in identifying multi-speaker dialogues, overlapping speech, and industry-specific terminology to provide high-quality text outputs. Performed quality assurance (QA) on automated transcripts, correcting phonetic errors and ensuring proper syntax and punctuation for final deliverables.
Bachelor's, Visual Production
Diplomacy, Computer Engineering
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