Guannan Qiao
Software Development Engineer In Test at 英特尔
Minhang District, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolGuannan Qiao is a Software Development Engineer in Test based in Shanghai with over a decade of experience in system and connectivity testing and four years focused on SDET roles around GPU media and ML infrastructure. Currently validating GPU media encode drivers at Intel, he brings deep hands-on experience in Bluetooth/WiFi/GNSS interoperability and Android platform compatibility from earlier roles. Guannan has contributed to high-profile NVIDIA Merlin and HugeCTR projects, adding SOK integration tests and CI/CD improvements that bridge ML model components with containerized deployment. He blends low-level driver validation discipline with modern DevOps and ML engineering practices, making him effective at ensuring reliability across hardware, firmware, and GPU-accelerated software stacks. An electrical engineering master from Shanghai Jiao Tong University, he quietly pairs standards-driven testing rigour with open-source collaboration on production-scale recommender tooling.
4 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at Tianjin UniversityMaster's degree, Electrical, Electronics and Communications Engineering, Master's degree, Electrical, Electronics and Communications Engineering at Shanghai Jiao Tong University
Github Skills (18)
docker10
python10
testing10
dockers10
cicd10
deeplearning-ai10
deep-learning10
tensorflow10
recommender-system10
cpp10
machine-learning9
mpi9
gpu-acceleration8
bash8
recommendation-system8
Programming languages (4)
Github contributions (5)
NVIDIA-Merlin/Merlin
May 2022 - Jan 2023
NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.
Role in this project:
DevOps Engineer & ML Engineer
DevOps Engineer & ML EngineerContributions:7 releases, 12 reviews, 14 commits in 8 months
Contributions summary:Guannan contributed to the project by modifying Dockerfiles, and CI/CD scripts, indicating a focus on infrastructure and build processes. They also updated dependencies and configuration related to the integration of Hugectr, a recommender system framework. The user's work included adding tests for Sparse Operation Kit (SOK) and modifying configurations for environments like Jupyter, indicating familiarity with machine learning components within the Merlin framework. Their work streamlined container builds and addressed dependencies, which enhanced the project's usability and deployment capabilities.
in-productiontrainingdeep-learning-modelsengineeringtensorflow
NVIDIA-Merlin/HugeCTR
May 2022 - Dec 2022
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
Role in this project:ML Engineer
ML EngineerContributions:11 releases, 2 reviews, 42 commits in 7 months
Contributions summary:Guannan implemented and tested Sparse Operation Kit (SOK) integration within the Hugectr framework, adding new test scripts and modifying existing ones to ensure compatibility with TensorFlow 2. The contributions focused on testing various aspects of SOK, including dense and sparse embedding layers, and distributed training configurations. The user also updated the CI/CD pipeline to incorporate these new tests, ensuring the stability and functionality of the SOK components within the Hugectr project.
cudapytorchcppgpu-accelerationdeep-learning
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