Jason Quach
Engineer at Systalyze
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolJason Quach is an AI/ML research engineer with a decade of experience building end-to-end, production-ready ML systems that span from low-level kernel optimizations to cloud-native real-time pipelines. He has repeatedly taken research papers to optimized deployments using PyTorch, CUDA, TVM and custom C++ kernels, and has significant experience tuning ML compilation and accelerator toolchains for embedded hardware. Jason has designed fault-tolerant, latency- and power-constrained edge systems for autonomous sensing and multi-view vehicle tracking, and built scalable AWS-based data pipelines and orchestration for real-time inference. Based in Cambridge, MA, he blends rigorous graduate-level CS training with hands-on systems engineering, and is comfortable shipping both research prototypes and hardened products for extreme environments. An unusual strength is his fluency across the full stack—from model architecture and low-level kernels to distributed orchestration and visualization—allowing him to bridge research and deployment effectively.
10 years of coding experience
6 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at UC San Diego Jacobs School of EngineeringPasadena City CollegeRosemead High School
Github Skills (22)
calculator9
computer-vision8
android8
fitness7
video-processing7
audio-processing7
machine-learning7
inference7
deep-learning7
pitch7
streaming7
stream-processing6
neumorphism6
perception6
pipeline-framework6
Programming languages (2)
Github contributions (5)
nu1ptr/hierarchical-multi-style-transfer
Jun 2017 - Jun 2017
Contributions:25 commits, 13 pushes in 9 days
georgelachow/UCSD-IARC-Quadcopter
Feb 2017 - May 2017
Contributions:43 commits, 30 pushes, 1 branch in 2 months
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