Xinhao Cheng
Student Researcher at Google
Pittsburgh, Pennsylvania, United States
Summary
🤩
Rockstar🎓
Top SchoolXinhao Cheng is a research engineer blending industry-grade software engineering with advanced academic training in computer science from Carnegie Mellon University. With three years of professional experience, he has shipped payment and order platform features at Alibaba and completed systems research at Google before joining LithosAI to focus on research-driven engineering. His background spans backend Java development, distributed systems research, and information networking, enabling him to bridge prototype research and production-quality implementations. Currently based in Pittsburgh, he is pursuing a PhD while helping translate cutting-edge systems ideas into practical products. Colleagues describe him as someone who pairs rigorous theoretical insight with a hands-on approach to engineering challenges. He often leverages his cross-cultural experience from China to the U.S. to navigate global product and research collaborations.
3 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Carnegie Mellon University School of Computer ScienceMaster's degree Master of Science in Information Networking, Master's degree Master of Science in Information Networking at Carnegie Mellon UniversityBachelor of Engineering - BE Computer Software Engineering, Bachelor of Engineering - BE Computer Software Engineering at Dalian University of Technology
Github Skills (22)
parallelization10
pytorch9
machine-learning9
deep-learning9
cuda9
gpt8
inference8
llm8
amd8
tpu7
llama7
mlops7
transformer7
llmops6
offloading5
Programming languages (4)
Github contributions (5)
xinhaoc/mirage
Sep 2024 - Mar 2025
A multi-level tensor algebra superoptimizer
Contributions:6 reviews, 9 PRs, 128 pushes in 7 months
xinhaoc/FlexFlow
Jan 2023 - Sep 2024
A distributed deep learning framework that supports flexible parallelization strategies.
Contributions:5 PRs, 422 pushes, 76 branches in 1 year 8 months
pytorchflexibledeep-learningmachine-learningdistributed-computing
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