Anil Kag

About Anil Kag

I am Anil Kag, a Senior Research Scientist and the Lead of the Efficient Generative AI team within the Creative Vision group at Snap Research. My research focuses on the intersection of high-fidelity generative modeling and large-scale efficiency—specifically architecting text, image, video, and audio generation models that are both state-of-the-art and deployable at a global scale. Since joining Snap in 2023, my work has transitioned from academic breakthroughs at top-tier venues like CVPR, NeurIPS, ICML, and ICLR to core product features. This includes Snap Video and SnapGen, which power AI Lenses used by millions of Snapchatters daily. My research also powers personalized image generation and lens creation in Easy Lens. I have earned my Ph.D. in Electrical Engineering from Boston University in July 2023, by defending my thesis on \"Novel neural architectures & algorithms for efficient inference\"(https://hdl.handle.net/2144/46649). Under the supervision of Prof. Venkatesh Saligrama, I worked on efficient neural architectures (recurrent, convolutional, and transformers), training algorithms, and resource-constrained learning. During this period, I have published numerous publications at ICLR, ICML, CVPR, NeurIPS, etc.Before starting my doctoral studies, I was a Research Fellow at Microsoft Research (MSR), where I deployed our Extreme Classification work in the Bing Ads recommendation engine. This problem involved large-scale machine learning with millions of labels, features, and data points.

Experience

1. Senior Research Scientist

   Snap Inc.

   Apr 2025 — Present · Los Angeles, CA, US

   Lead Efficient Generative AI Team, directing the technical strategy for Snap’s hardware-agnostic generative stack.(a) Elastic Supernetworks: Spearheading the development of SnapGen++, a pioneering Elastic Diffusion Transformer (DiT) framework.(b) Efficiency Frontiers: Architecting the next generation of SnapVideo models, achieving superior generation quality at significantly lower inference compute.(c) Mobile Video Pioneers: Directing the team in the design of high-performance DiT models capable of real-time streaming video generation on-device.(d) Strategic Mentorship: Leading a team of research scientists to bridge the gap between foundational research and production-scale AI deployment.

Education

• Indian Institute of Technology, Guwahati

  Bachelor of Technology (B.Tech.), Computer Science

  2010 — 2014

• Boston University College of Engineering

  Doctor of Philosophy - PhD, Machine Learning

Skills

• Jsp
• Java
• Python
• Latex
• C
• Programming
• Machine Learning
• Algorithms
• Javascript
• Recommender Systems
• Android Development
• Html
• Haiku
• C++
• Scikit-Learn
• Spark
• Mysql
• Matlab
• Deep Learning
• Php
• Sql
• Linux Kernel
• Linux