Summary
Tejasv Agarwal is a driven Computer Science undergraduate at Penn State with a strong interdisciplinary bent in Mathematics and Economics, currently contributing to AI and digital twin research at the CAIS Lab. With nine years of hands-on experience across academic research, robotics clubs, and industry externships, he builds end-to-end ML systems—from OCR and RAG pipelines for document intelligence to computer vision for robotics. He has teaching and mentoring experience as a learning assistant and grader for calculus and introductory programming, which sharpens his ability to communicate complex technical ideas. Selected from 10,000+ applicants for Goldman Sachs’ Virtual Insight Series, he combines technical curiosity with product-minded thinking and a track record of turning prototypes into impactful workflows. Notably, his practical experience spans both low-level robotics and high-level LLM-based retrieval systems, highlighting a rare breadth for an early-career engineer.
9 years of coding experience
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Penn State University
High School Diploma, High School Diploma at Apeejay Stya Education (Svran Foundation)
AAKASH INSTITUTE
English, Hindi