Mingcheng Chen
Head Of Perception at Tensor Auto
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolMingcheng Chen is a Head of Perception based in the San Francisco Bay Area with 12 years of experience building production perception systems for autonomous vehicles. He has led distributed teams across multiple continents to design and ship end-to-end perception stacks—starting projects from scratch at AutoX and driving cross-team collaborations on calibration, mapping, and weather robustness. At Waymo he served as a technical lead across sensing domains (lidar, tracking, segmentation) and also created a company-wide Colab service, showing a knack for developer productivity as well as core algorithms. A PhD-trained engineer from UIUC, Mingcheng pairs deep research instincts with hands-on backend contributions—his open-source work includes significant refactors to the Conflux Rust implementation improving state management and error handling. Colleagues know him for thriving in multi-site, high-velocity environments and for turning complex perception challenges into operational systems.
12 years of coding experience
9 years of employment as a software developer
Visiting student Mechanical Engineering, Visiting student Mechanical Engineering at University of California, BerkeleyDoctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at University of Illinois Urbana-ChampaignBachelor Computer Science, Bachelor Computer Science at Shanghai Jiao Tong University
English, Chinese
Github Skills (11)
cryptocurrency10
state-management10
confluent-platform10
confluent10
confluent-kafka10
rust10
backend10
confluent-cloud10
blockchain10
confluent-kafka-go10
testing9
Programming languages (3)
Github contributions (5)
Conflux-Chain/conflux-rust
Jan 2021 - May 2021
The official Rust implementation of Conflux protocol. https://doc.confluxnetwork.org
Role in this project:
Back-end Developer
Back-end DeveloperContributions:36 reviews, 39 commits, 12 PRs in 4 months
Contributions summary:Mingcheng primarily focused on refactoring and enhancing the Conflux Rust implementation, as evidenced by the commits. They made code changes related to the state management, including refactoring functions and modifying how contract creation and call results are handled. Furthermore, the user addressed potential panicking scenarios and improved the handling of errors within the core executive components. The user's commits also involved improvements to benchmarks and adjustments to context management.
rustp2pblockchaincryptocurrencyconflux
linyufly/LCSExtractor
Jan 2014 - Apr 2015
Contributions:11 commits, 1 push in 1 year 3 months
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