Engineering Talent Evaluation in the Age of Generative AI
Abstract: This paper presents a comprehensive framework for evaluating engineering talent using Generative AI (GenAI). It contrasts traditional staffing models with GenAI-driven approaches, introduces mathematical formulations for skill gain and stability, and embeds flowcharts to illustrate the transformation. Assumptions are explicitly defined to support academic rigor.
Keywords: Generative AI, engineering talent, staffing models, skill evaluation, academic rigor
How to Cite?: Anand Sunder, "Engineering Talent Evaluation in the Age of Generative AI", Volume 14 Issue 8, August 2025, International Journal of Science and Research (IJSR), Pages: 1435-1436, https://www.ijsr.net/getabstract.php?paperid=MR25821102828, DOI: https://dx.doi.org/10.21275/MR25821102828