Ria Cheruvu is a Senior Trustworthy AI Architect with nine years of experience building responsible, production-ready AI systems across industry and academia. Currently at NVIDIA, she shapes high-stakes trustworthy AI solutions and previously led generative AI, ethics, and edge-focused research at Intel while advising a stealth startup on automated AI governance. A Harvard-trained data scientist and seasoned instructor, she authors practical courses on LLMs, ethical AI, and data visualization, translating research into teachable, deployable workflows. Her work spans intuitive physics and reinforcement learning for embodied agents, differential privacy and homomorphic encryption for algorithmic protection, and mapping deep learning to heterogeneous hardware—skills that pair deep technical rigor with policy-aware implementation.
9 years of coding experience
7 years of employment as a software developer
High School Diploma, High School Diploma at Arizona Connections Academy
Master of Liberal Arts Data Science, Master of Liberal Arts Data Science at Harvard University
A work in progress implementation of a tool that can automatically find datasets, visualize data, run machine learning models, and generate predictions given a business problem. Inspired by Google's AutoML
Contributions:2 PRs, 13 pushes, 2 branches in 2 years 5 months
Contributions:1 review, 3 PRs, 43 pushes in 7 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Ria Cheruvu - Senior Trustworthy AI Architect at NVIDIA