Ayush Rajpal
Artificial Intelligence Engineer @CNH
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WORK HISTORY
Artificial Intelligence Engineer @CNH
Chicago, IL, US
Supporting technical team as an AI-driven IT Specialist, with a focus on AI-enabled IT initiatives, workflow automation, and system improvements• Currently evaluating opportunities to integrate AI capabilities with platforms such as ServiceNow to streamline ticket creation, triage, task allocation, and related support processes• Contributing to technical projects and operational workflows aimed at improving efficiency, accuracy, and overall service experience.
EDUCATION
Chitkara University
Bachelor of Engineering - BE, Computer Science and Engineering
University of Southern California
Master of Science - MS, Computer Science (Artificial Intelligence)
ABOUT AYUSH RAJPAL
USC graduate with a Master’s in Computer Science specializing in Artificial Intelligence. Currently working as an AI Engineer at CNH, where I focus on applying AI and machine learning to real-world enterprise systems, including automation, intelligent workflows, and AI-driven solutions within IT platforms.Previously worked as an AI Engineer Co-op at CNH and as a Data Analyst Intern at CareSoft Global, building experience across data engineering, analytics, and applied machine learning. Prior to graduate school, I spent over two years as a Data Analyst at WNS Global Services, delivering data-driven insights and analytics solutions for large-scale business operations.Beyond industry work, I serve as the Lead Web Developer for Quantum Engineering Ethics (QEE), contributing to the development of digital platforms that support interdisciplinary discussions around technology, ethics, and emerging innovations.My background also includes internships at WHISPER Energy, IIT Kanpur, and Verzeo (Microsoft & IIT Roorkee partnership), focusing on AI, IoT, and machine learning systems.I’m deeply interested in Artificial Intelligence, robotics, and intelligent systems, with experience in Python, C++, SQL, machine learning frameworks, and data-driven problem solving. I enjoy building systems that bridge research, engineering, and real-world impact
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