Klint Qinami
Staff Software Engineer
Qualcomm, Inc.
first name plus last name at mail client dot com
C.V.

About

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.

Publications

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.

Undergraduate Work

Computer Science

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]

Math

Algebraic Topology
Klint Qinami (2018)
[PDF]

Point-Set Topology
Klint Qinami (2017)
[PDF]

Modern Algebra
Klint Qinami (2016)
[PDF]

Physics

Superconductivity Lab Software
Klint Qinami
[Manual] [SRC] [GitHub]

Quantum Hall Effect Software
Klint Qinami
[Manual] [SRC] [GitHub]