I’m building large multimodal models at a startup.
Prior to this, I worked at Google Brain on foundation models, and at Facebook AI Research on computer vision. I have expertise in research, libraries and infrastructure for deep learning and computer vision.
My previous works at FAIR have received Best Paper Honorable Mention in ECCV 2018, Best Paper Nomination in CVPR 2020, and Mark Everingham Prize in ICCV 2021. I also created detectron2, one of the most popular Facebook AI projects.
Master in Computer Vision, 2016
Carnegie Mellon University
Bachelor in Computer Science, 2015
Full list of OSS contributions can be found here.
Best Paper Nominee in CVPR 2020 for the paper “Momentum Contrast”.
Winner of defense track in Competition on Adversarial Attacks and Defenses (CAAD) 2018.
We trained an ImageNet classifier with state-of-the-art robustness against adversarial attacks.
We performed successful adversarial attacks / defenses against other teams during the live competition.
Best Paper Honorable Mention award in ECCV 2018 for the paper “Group Normalization”. Announcement
Google Open Source Peer Bonus in 2017 for the tensorpack project. Announcement
Winner of VizDoom AI Competition in CIG 2016.
Champion of Student Cluster Competition in both ISC 2015 and ASC 2015.
Finalist in SIGMOD Programming Contest in SIGMOD 2014, as team leader of “blxlrsmb”.
Design and implement a large social network database to support efficient queries.