Klint Qinami
Staff Software Engineer Qualcomm, Inc. first name plus last name at mail client dot com C.V. |
I work on machine learning compilers at Qualcomm R&D. Previously, I was at Reservoir Labs, Inc., working on compiler toolchains for machine learning, polyhedral compilers, and software verification. I have a strong interest in ML research, specifically in computer vision and natural language processing. I was briefly a Ph.D. student, working on bias mitigation in machine learning. Before that, I worked on computer graphics and geometry processing. I feel motivated when I can work on problems that have an impact in the world, and I like the engineering challenges that come with trying to make things work in practice. I like puzzles, and enjoy working hard on things that I find interesting.
Zeyu Wang, Klint Qinami, Ioannis Karakozis, Kyle Genova, Prem Nair, Kenji Hata, and Olga Russakovsky. Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
Kaiyu Yang, Klint Qinami, Li Fei-Fei, Jia Deng, and Olga Russakovsky. Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy. In ACM Conference on Fairness, Acountability and Transparency (ACM FAccT), 2020.
QClang: High-Level Quantum Computing Language
Klint Qinami, Connor Abbott. (2018)
[PDF]
[SRC]
[GitHub]
Quantifying Geometric Entanglement: the Linking Number of Two Open
Curves
Klint Qinami, Eitan Grinspun. (2017)
[PDF]
Blis: Better Language for Image Stuff
Connor Abbott, Wendy Pan, Klint Qinami, Jason Vaccario. (2017)
[PDF]
[SRC]
[GitHub]
Algebraic Topology
Klint Qinami (2018)
[PDF]
Point-Set Topology
Klint Qinami (2017)
[PDF]
Modern Algebra
Klint Qinami (2016)
[PDF]
Superconductivity Lab Software
Klint Qinami
[Manual]
[SRC]
[GitHub]
Quantum Hall Effect Software
Klint Qinami
[Manual]
[SRC]
[GitHub]