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
Bachelor of Science (B.S.), Mathematics, with minors in Computer Science and Language Technologies, Bachelor of Science (B.S.), Mathematics, with minors in Computer Science and Language Technologies at Carnegie Mellon University
Contributions:2 PRs, 89 pushes, 6 branches in 3 years 9 months
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