Vijay Viswanathan is a PhD candidate at Carnegie Mellon University’s School of Computer Science with a decade of experience building production-ready ML systems and publishing in top venues. His background spans industry and research roles—from behavior prediction at Uber ATG and scalable experimentation at a startup to biomedical relation extraction at AI2—blending practical engineering with deep language-tech expertise. He co-created the open-source Prompt2Model project, signaling active engagement in prompt-to-model tooling and community-driven research. With a strong academic record (MS with a 4.06 GPA) and early foundations in mathematics and language technologies, he brings rigorous analytical thinking to applied NLP and inference problems. Notably, his career shows a pattern of shipping end-to-end systems that bridge research insights and real-world impact.
10 years of coding experience
5 years of employment as a software developer
Upper St. Clair High School
Doctor of Philosophy - PhD Language and Information Technology, Doctor of Philosophy - PhD Language and Information Technology at Carnegie Mellon University
Contributions:51 commits, 4 PRs, 41 pushes in 6 months
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