Jin Mingjian is a tech leader and PhD with 15 years building high-performance data and embodied-AI systems, currently leading Data+AI and embodied intelligence initiatives at Midea Group and finalist in the IROS 2025 AgiBot World Challenge. He founded TensorBase, an open-source Rust data warehouse that earned 1.4k GitHub stars and unique RISC-V support, and has repeatedly scaled engineering and data teams as CTO/Founder across several startups. An Ethereum Protocol Fellow, Jin has worked on lightning-fast consensus-layer clients while also authoring GPU DSLs and low-level language tooling in Rust and Python. His background spans enterprise R&D (Oracle), corporate labs (Midea-Intel), and productized AIoT platforms, blending deep systems expertise with real-world deployments in Fortune Global 500 settings. Colleagues know him for shipping pragmatic, high-throughput infrastructure and for an uncommon mix of academic rigor and hands-on low-level optimization.
15 years of coding experience
12 years of employment as a software developer
Doctor, EE, Doctor, EE at University of Chinese Academy of Sciences
Bachelor, EE, Bachelor, EE at Huazhong University of Science and Technology
TensorBase is a new big data warehousing with modern efforts.
Role in this project:
Back-end Developer
Contributions:2 releases, 55 reviews, 331 commits in 1 year 9 months
Contributions summary:Jin's commits primarily focus on fixing and enhancing the codebase for the TensorBase big data warehousing project. They addressed issues related to cargo tests, ensuring the project's build and test processes functioned correctly. The changes include modifications across various files, including runtime, meta, and engine modules. These commits demonstrate an active role in maintaining and improving the project's functionality and stability.
Contributions:161 pushes, 2 comments in 2 years 7 months
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