I’m a detail-oriented and tech-savvy professional with a background in software engineering, prompt engineering, AI training, data labeling, and annotation. I enjoy turning complex problems into practical solutions and have hands-on experience with translation, transcription, and labeling across image, audio, and video tasks. I am comfortable with web searching and fact-checking, and I have a strong foundation in LLM fine-tuning and Reinforcement Learning from Human Feedback (RLHF).
I’ve worked on NLP and multimodal annotation, focusing on prompt evaluation, intent classification, reasoning quality, and factual verification. I consistently maintain high accuracy and throughput while meeting strict project deadlines, and I’m excited to contribute to data-centric AI projects that require precision and flexibility.
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