Motivated and research-driven Computer Science undergraduate with hands-on experience in machine learning, high-performance computing, and cloud infrastructure. Proven ability to design and deploy predictive models for job scheduling and system performance optimization using AWS and Python-based tools. Co-author of peer-reviewed research presented under the U.S. Department of Energy’s Visiting Faculty Program at Brookhaven National Laboratory. Skilled in tutoring and peer-led instruction in advanced mathematics, with a strong foundation in data science, neural networks, and system architecture. Passionate about applying computational methods to solve real-world problems at scale.