Shijun Kong
Software Engineer at Zoox
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolShijun Kong is a software engineer with 11 years of experience building high-performance systems across finance and AI infrastructure, now focused on machine learning perception at Zoox in New York. He has led AI inference optimization efforts at Facebook Reality Labs and PyTorch model tooling for diverse accelerators (CPU, GPU, NPU), bringing deep performance tuning and on-device ML experience. Prior roles include leading front-office data engineering at AQR and improving core risk engines and parallel processing for large financial portfolios, demonstrating a blend of low-latency data pipelines and scalable system design. Comfortable both as a hands-on developer and technical lead, he repeatedly translates complex business requirements into robust, production-ready solutions. Motivated by technical challenge and continuous learning, he applies a pragmatic, improvement-driven mindset rooted in years of cross-domain engineering. An early background at Infosys and a CS degree from Shanghai University round out a profile that bridges enterprise-grade reliability with cutting-edge ML deployment.
11 years of coding experience
18 years of employment as a software developer
Bachelor degree, Computer Science, Bachelor degree, Computer Science at Shanghai University
Github Skills (119)
python10
deep-learning10
self-attention10
gpu10
gpu-acceleration10
acceleration10
numpy10
neural-network10
tensor10
java10
tensorflow10
spring-boot10
autograd10
spring10
machine-learning10
Programming languages (5)
Github contributions (5)
ShijunK/pytorch
Oct 2020 - Feb 2022
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:23 pushes, 13 branches in 1 year 4 months
pythongpu-accelerationdeep-learninggpuacceleration
ShijunK/tf-faster-rcnn
May 2017 - May 2017
Contributions:2 pushes, 1 branch in 1 day
rcnnfaster-rcnntensorflowfaster
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