Summary
Anil Kag is a Senior Research Scientist leading the Efficient Generative AI team in Snap Research’s Creative Vision group, with 12 years of experience building deployable, high-fidelity generative models across text, image, video, and audio. He translates top-tier academic contributions (CVPR, NeurIPS, ICML, ICLR) into production features—most notably SnapGen and SnapVideo—that power AI Lenses used by millions and drove a patent-pending architecture. His Ph.D. from Boston University focused on novel neural architectures and resource-constrained inference, a theme he continued at Microsoft where his extreme classification work was deployed in Bing Ads. Known for designing hardware-agnostic Elastic Diffusion Transformer frameworks and real-time on-device video generation, he blends deep theoretical rigor with pragmatic system engineering. Colleagues describe him as a strategic mentor who consistently bridges research breakthroughs and global-scale product impact.
12 years of coding experience
8 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at Indian Institute of Technology, Guwahati
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Boston University College of Engineering