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]