Quality Assurance
The project scope is AI Agents evaluation in following agent rules, ethics and users engagement.
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I am an experienced product leader and system engineer with over 8 years of expertise in quality assurance, AI training data, and annotation projects. My work has involved reviewing and validating scenarios for AI agents to ensure tasks are factual, logical, and reflective of real-world situations. I am skilled at identifying inconsistencies, documenting reasoning paths, and analyzing complex systems to uncover edge cases that impact AI agent performance. My background includes managing global AI solutions in logistics, leading teams through Agile transformations, and setting benchmarks for AI system responses. I am proficient in tools such as Jira, Confluence, Azure DevOps, and MS365, and have hands-on experience with Python and data annotation best practices. My strong foundation in AI ethics, context engineering, and prompt engineering enables me to deliver high-quality training data for advanced AI applications.
The project scope is AI Agents evaluation in following agent rules, ethics and users engagement.
Masters, Software engineering
Product manager