PHP,Laravel,golang,database
I have extensive experience in data labeling and AI training data preparation, focusing on ensuring high-quality, accurately annotated datasets for machine learning models across domains such as computer vision, natural language processing, and conversational AI. My work includes designing annotation guidelines, performing multi-tier quality assurance, and managing large-scale labeling workflows using tools like Labelbox, Scale AI, and CVAT. I’ve also collaborated closely with data scientists to refine label taxonomies and improve dataset consistency, resulting in measurable gains in model accuracy and reliability. What sets me apart is my strong combination of technical precision and domain understanding. I’m skilled at balancing speed with accuracy, leveraging scripting and automation (Python, Pandas, JSON parsing) to streamline repetitive labeling tasks and identify anomalies in large datasets. My attention to detail, familiarity with model feedback loops, and hands-on understandin