RESUME SCREENER

Mahmut Kasimoglu demonstrates a robust AI resume screening workflow that automates candidate evaluation using a no-code automation tool. The system integrates Gmail triggers for email-based resume intake, AirTable for data management, and employs multiple AI models (GPT-4o, Claude 3.5, Gemini 2.0 flash, and o3 mini) within evaluator/optimizer and voting parallelization patterns. The workflow processes PDF/HTML resumes, extracts structured data, and iteratively aggregates scores. A free template is available via the linked community resource.