Tejasv Agarwal

Member Of Technical Team at GDG@PSU

New York, New York, United States
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Summary

👤
Senior
🎓
Top School
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.
code9 years of coding experience
bookBachelor's degree Computer Science, Bachelor's degree Computer Science at Penn State University
bookHigh School Diploma, High School Diploma at Apeejay Stya Education (Svran Foundation)
bookAAKASH INSTITUTE
languagesEnglish, Hindi
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Github Skills (6)

keras9
generative-adversarial-network8
jekyll7
deep-learning6
android-development5
java5

Programming languages (4)

JavaCSSJavaScriptPython

Github contributions (5)

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tejasvx/kaggle

Dec 2017 - Dec 2018

Contributions:9 commits, 1 push in 11 months
Contributions:7 pushes, 3 branches in 1 year 1 month
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