Summary
Rishabh Agarwal is a Purdue Computer Engineering student with a strong track record building AI-driven and cloud-ready solutions, combining academic rigor (3.71 GPA) with practical industry experience. As an Infrastructure Engineer intern at Health Care Service Corporation, he designed an LSTM-based TensorFlow model that forecasted mainframe CPU and memory utilization with 93% accuracy, demonstrating an ability to translate time-series research into production-focused capacity planning. He excels in collaborative, teaching-oriented roles—serving as a TA who ran extensive office hours to demystify data structures and C programming for peers. Fast to learn and adapt, he brings a pragmatic blend of machine learning, cloud infrastructure, and software engineering skills to projects that optimize operations and decision-making. Though early in his career, his internship outcomes and academic leadership hint at a developer who thrives on measurable impact and scalable architectures.
12 years of coding experience
CBSE, 96%, CBSE, 96% at Delhi Public School - India
3.71, 3.71 at Purdue University