Dhyey Mavani is a Software Engineer at LinkedIn, where he works on inference optimization for generative AI models within the AI Platforms org. With a rare triple major in Computer Science, Mathematics, and Statistics from Amherst College, Dhyey graduated with two summa cum laude honors theses: one in Mathematics, where he formalized chip-firing games and the Graphical Riemann-Roch theorem using Lean4, and another in Statistics, where he developed a Python package for discrete copula modeling to analyze complex ordinal response data.

At LinkedIn, he built and productionized the company’s first PyTorch-Rust model serving engine, reducing GPU costs by ~$1M and powering key recommendation systems. His work stands at the intersection of applied computational mathematics, scalable infrastructure, and human-centered AI—balancing latency, reliability, and ethics.

Dhyey is also passionate about EdTech innovation, open-source collaboration, and building systems that are as interpretable as they are efficient—always guided by a belief that great user experiences start with rigorous design and deep empathy.

You can find more about Dhyey at linkedin.com/in/dhyey-mavani

______

If you, or someone you know, would like to be a guest on the podcast send an email to podcast@userexperience.org.