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Collaborating in a project group led by alumnus Bach Le (GABELLI ’24), students were trained to prompt engineer ChatGPT, OpenAI’s large language model (LLM), on the backend of the RAMResume system to create a tool that provides a way for them to harness AI to elevate their profile amongst those of other job candidates. Through an easy-to-navigate interface, students input their graduation year, major, and interests for a customized approach that sets RAMResume apart from other competing products. After uploading a job description and inputting information about work experience, the program scans for applicant tracking system (ATS) key-words and creates relevant, keyword-rich bullet points as part of an AI-generated resume that is designed to achieve a high rank in ATS systems. These systems are often used by HR departments as a means to manage the recruitment process, however, they can cause a major hurdle in having a resume seen in the early stages of the application process if it does not contain critical keywords. Once the resume is complete, a cover letter generator also creates a professional cover letter that matches the job description. The student’s unique profile page tracks the number of resume scans by recruiters, giving them and career advisors insights through a dashboard on how well they are doing in their job search.

As with all AI-generated content, the outputs of RAMResume must be reviewed by humans. However, the tool assists students in completing the initial steps of writing their first resume from scratch—an often daunting task to undertake on their own. When fully implemented, RAMResume will allow the PPD team to focus on helping students to be more strategic in their job search, while working to develop a polished resume and cover letter. Future features in development will include LinkedIn optimization, dossiers for industries, and interview preparation questions.

Mark Silver, Ph.D., professor of information, technology, and operations, who also serves as associate dean of undergraduate studies noted, “What makes this project so wonderful is that Gabelli School students are gaining experience with AI technology while developing applications that support the greater Gabelli School student population. RAMResume also illustrates an important aspect of our unique approach to AI—we view technology through ‘The Consequences Lens,’ which emphasizes using AI responsibly—not for the sake of simply using the tools—but to achieve desired outcomes while mitigating undesirable ones.”