Developed a software platform to benchmark and compare the performance of text-to-image generative models, including GANs and

diffusion models, on resource-constrained devices.

▪ Focused on computational efficiency, scalability, and the quality of generated outputs to optimize generative model performance

▪ Utilized tools such as RT-DETR for object detection accuracy and visual transformers for artistic style classification.

▪ Co-authored an in-progress research paper on advancements in performance for generative AI on low-powered devices.

Led research and development of image segmentation models to evaluate generative AI text-to-image models in Qualcomm-hosted

competition, outsourced to Purdue’s research team

▪ Collaborated with team members and Qualcomm engineers to create benchmarks and evaluations for external AI model submissions

▪ Developed automation scripts to monitor CPU, GPU, and memory usage during AI model evaluations for performance analysis.

• Engaged in a comprehensive 7-week fellowship designed to enhance software engineering skills through practical, hands-on projects.

• Developed and completed five AI-driven projects, demonstrating proficiency in various programming languages and AI technologies.

• Participated in five weekend hackathons, collaborating with peers to innovate and solve complex coding challenges.

• Created a final project aimed at reaching over 1,000 users, showcasing the ability to deliver impactful solutions to real-world problems.

• Received tailored interview preparation, including mock technical interviews and resume reviews from industry professionals.

• Attended weekly AI coaching sessions focused on career development, goal setting, and technical skill enhancement.

• Submitted projects for peer feedback and engaged in team evaluations to improve collaboration and communication skills.

• Built connections with a community of like-minded peers and industry professionals, expanding my professional network.

Participated in the Goldman Sachs Virtual Insight Series, a professional development program designed for undergraduate students. Through various virtual sessions, I gained valuable insights into the finance industry, developed essential skills, and connected with professionals at Goldman Sachs. The program's digital curriculum enhanced my understanding of potential career paths within the firm and provided networking opportunities that broadened my professional network and prepared me for future endeavors in finance.