Specialised in high-quality video annotation and data labeling supporting training and fine-tuning of large language mod
Specialised in high-quality video annotation and data labeling supporting training and fine-tuning of large language models (LLMs) on the Owl client project. Delivered contextually accurate annotations that improve model understanding across complex visual and textual tasks with focus on consistency and precision. Contributed to benchmark validation: Supported Amazon-Sysbench and Terminal-Bench projects through test execution analysis and debugging for reliable AI model evaluation.
Not specified