Emanuel Mendiola-Ortiz Email & Phone Number

State College, Pennsylvania, United States

• Engineered and implemented AI-driven career pathways using OpenAI’s ChatGPT, leveraging data from the US Bureau of Labor Statistics and ONET with prompt engineering. • Created a comprehensive career guidance system offering three distinct pathways for each career: the Classic Path, the Out of the Box Path, and the Budget-Friendly Path. Each pathway includes detailed, step-by-step guidance with checkboxes for user progress tracking. • Developed a user-friendly job board, similar to Indeed to facilitate job searches. The platform allows users to search and apply for jobs efficiently. •Currently developing an AI chatbot that serves as a Career Readiness Assistant. This assistant helps users with inquiries such as optimizing LinkedIn profiles for job searches, drafting SMART goals, and how to stand out to potential employers. • Continuously improving user experience by integrating advanced AI technologies and providing personalized career advice and job search assistance.

University Park, Pennsylvania, United States

• Maintaining positive appearance on website and social media.• Partnered closely with other executive board members to plan, execute events, workshops and initiatives that promote professional development.

New York City Metropolitan Area

• Collaborated with Dr. Junfeng Yang and other PhD and undergraduate students to generate large deepfake audio datasets using open-source text-to-speech models.• Evaluated model robustness through comprehensive benchmark tests to ensure high performance.• Developed and implemented an audio deepfake detection model using LSTM architecture and tested it on self-generated deepfake datasets.• Managed Linux servers on the Google Cloud Platform, utilizing various Linux commands, monitoring GPU usage, and optimizing storage space on the server.• Wrote Python scripts to download, segment, and integrate deepfake audio into new datasets, contributing to the lab’s ongoing research.

Reno, Nevada, United States

• Attacked and developed defense methods for Federated Learning AI system, assessing the efficiency and vulnerabilities of each method. • Facilitated weekly meetings with the principal investigator to present findings, refine research objectives, and ensure project alignment. • Prepared engaging presentations to communicate research advancements to non-technical audiences. • Mentored a high school student, guiding them through project tasks and ensuring their integration and understanding of key concepts. • Worked on a large codebase, programming in Python and utilizing the PyTorch machine learning library. • Ran and monitored machine learning models on a remote server, logging results in Microsoft Excel. • Collaborated with graduate students to develop algorithms that adjusted model parameters.

• Collaborated in a human-computer interaction lab at Penn State on a project using smart-camera prosthetics to assist visually impaired individuals.• Worked with a virtual assistant from a partnering company to enhance product usability and functionality.• Conducted remote interview sessions with users to gather valuable feedback for product development.• Drafted a research paper to highlight the team’s findings, synthesizing insights with previous research.• Overcame challenges in adapting to a new writing style from traditional classroom conventions to effectively communicate within the scientific community.