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Klint Qinami
Software Engineer Meta Platforms, Inc. first name plus last name at mail client dot com CV / LinkedIn |
I am a machine learning systems engineer at Meta, working on compilers, frameworks, and kernels for in-house training and inference accelerators (MTIA), as part of the PyTorch AI framework organization. Previously, at Qualcomm, I worked on machine learning compilers, targetting wide-vector VLIW DSP accelerators. Before that, I was at Reservoir Labs, working on compiler toolchains for machine learning, polyhedral compilers, and software verification (before it was acquired by Qualcomm). I was briefly a Ph.D. student at Princeton, working on bias mitigation in machine learning. As an undergrad at Columbia, I worked on computer graphics, physics-based simulation, and geometry processing. I really like performance optimization in the context of large, practical systems.
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]