Hey, nice to meet you!

I’m Sean Kirmani <>, an AI researcher and entrepreneurial engineer.

I was an early ML engineer at Everyday Robots, an Alphabet Company that graduated from X (formerly Google[x]). I worked on vision-language models, few-shot learning, camera detectors, lidar detectors, and 3D object trackers.

Previously, I’ve worked on image-based lighting for augmented reality with the Project Tango team at Google VR/AR.

I graduated from The University of Texas at Austin with degrees in Electrical Engineering and Computer Science. I spent four years as a robotics research assistant with various professors in the Robotics Lab at UT Austin. I have experience in behavior architectures, perception, planning, navigation, manipulation, and machine learning.

I enjoy working on all things AI — with a bent towards perception and language. I’m most interested about generative models for vision and text. Most of all, I’m interested in using AI to improve the society in practical ways. A summary of my technical interests are below:

  • Computer Vision
  • Natural Language Processing
  • Robot Learning
  • Reinforcement Learning
  • Deep Learning
  • Artificial Intelligence

My résumé is available if you want to be all, like, formal and stuff, dude.

Sean in IEEE office Sean at spiderhouse cafe