Summary
Athiya Deviyani is a PhD student in AI at Carnegie Mellon University and a machine learning researcher with eight years of industry and academic experience spanning recommendation, NLP, vision, and evaluation. She has interned on ML research teams at Netflix and Apple—working on algorithmic identity modeling and parameter-efficient LLM fine-tuning—and has prior engineering internships at Google and Amazon, giving her strong product-aware research instincts. At CMU she teaches graduate deep learning and reinforcement learning courses and has published work on bias evaluation and mitigation in text-to-image models and text normalization for speech. A top-of-class BSc graduate from the University of Edinburgh, she blends rigorous evaluation methodology with practical system-building and mentoring, and maintains a public portfolio of projects and research at athiyadeviyani.github.io. An interesting throughline: she pairs hands-on ML implementation (GNNs, diffusion-model analysis) with curriculum design and community leadership from hackathon organizing to course development.
7 years of coding experience
4 years of employment as a software developer
BSc Hons Artificial Intelligence and Computer Science, BSc Hons Artificial Intelligence and Computer Science at The University of Edinburgh
Doctor of Philosophy - PhD Language and Information Technology, Doctor of Philosophy - PhD Language and Information Technology at Carnegie Mellon University
Indonesian, Chinese, English, Malay