Deep Learning Research Internship at Tsinghua University
Old Toronto, Ontario, Canada
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Summary
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Senior
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Top School
David Huang is a deep learning researcher and software engineer specializing in spatial AI, 3D reconstruction, and autonomous driving world models, with a decade of practical experience across industry and academia. Currently at Huawei Noah’s Ark Lab and interning at Qualcomm on video generation, he combines strong systems skills (Python, C++, Java, JS) with applied research that has produced papers and patents on language-and-geometry grounded sparse voxel representations and a Turbo3R acceleration method. He has contributed backend code to the OpenStack Cinder project—implementing Huawei storage driver features and QoS support—demonstrating an ability to bridge low-level integration with high-level ML research. A University of Toronto computer engineering student with minors in AI and business, David routinely moves between prototyping web/AWS services and state-of-the-art multimodal modeling (LLMs, latent world models), and is available for a 4-month co-op in mid-2026. Notably, his work emphasizes practical speedups (8x acceleration claims) and multi-hypothesis reasoning strategies that improve both efficiency and accuracy, revealing a focus on deployable research.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Applied Science - BASc, Computer Engineering, Bachelor of Applied Science - BASc, Computer Engineering at Electrical & Computer Engineering at U of T
AwesomeMath Program, Geometry and Combinatorics, AwesomeMath Program, Geometry and Combinatorics at Cornell University
OpenStack Block Storage (Cinder). Mirror of code maintained at opendev.org.
Role in this project:
Back-end Developer
Contributions:8 commits in 1 year 2 months
Contributions summary:David primarily contributed to the Huawei driver within the OpenStack Cinder project, focusing on storage functionalities. Their work involved fixing bugs related to prefetch values, implementing support for front-end QoS, and adding the consistency group capability to generic groups. These changes demonstrate an understanding of the Huawei storage array integration and the OpenStack block storage architecture. The contributions included modifications to configuration files, driver logic, and unit tests, showcasing a focus on improving functionality and integration with the Huawei storage systems.
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David Huang - Deep Learning Research Internship at Tsinghua University