Vedaant Jain
Vedaant Jain

Undergrad

UIUC

About Me

I’m an undergraduate at the UIUC, studying in Mathematics & Computer Science, focused on building reliable machine learning and data systems as well as their applications in biology and interactive environments (AR/VR/XR). My past work includes:

  • UIUC Focal Lab: Research on Quantitative certification of Comprehension in Large Language Models (LLMs).
  • Harvard Kreiman Lab: Developed humor detection benchmarks for vision and multimodal models.
  • Metaphor Data: Improved LLM pipeline performance by 20% and created a CLI for batch operations as a Software (ML) Engineering Intern.
  • NCSA: Applied diffusion modeling for disease progression simulation as an intern.
  • UIUC Disruption Lab (a student org): Led multiple AI/ML projects as Head of AI/ML, including LLM-based web crawling and virtual classrooms for clients like AMD.
  • UIUC TheorieLearn: Contributed as a Software Developer to make interactive web-based educational games/resources for the Algorithms class at UIUC.

I’m seeking internship opportunities in machine learning and software engineering for Fall and Summer 2025. If you think I’d be a good fit for your team, please ✉️ reach out via email.

For more details on my projects and research, check out my Projects page.

Download CV
Interests
  • Trustworthy Machine Learning
  • AR/VR/XR
  • Machine Learning for Biology
  • Generative Modeling
Education
  • BS Mathematics&Computer Science

    University of Illinois Urbana-Champaign

Featured Publications
Recent Publications
(2024). HumorDB. HumorDB.
(2024). QuaCer-C: Quantitative Certification of Knowledge Comprehension in LLMs. In SeTLLM@ICLR.
(0001). .