Daniel Tang is a software engineer in the San Francisco Bay Area with 10 years of experience building scalable, production systems across software and hardware stacks. He’s shipped full-stack notification services at Amazon that serve millions of employees and previously optimized CI and UI test infrastructure at Square, cutting run time and cloud costs significantly. His background includes core contributions to the Chisel hardware-description ecosystem—migrating major tutorials and implementing compiler transforms to accelerate ASIC design at Google—and low-level CPU benchmarking and analysis at Oracle. Comfortable moving between systems software, backend services, and hardware tooling, he brings a rare combination of compiler-level expertise and production engineering pragmatism. Unexpectedly, his work on Chisel migrations shows a talent for modernizing developer tooling as well as designing for simulator interoperability.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS), Computer Engineering, Bachelor of Science (BS), Computer Engineering at UC Berkeley
Contributions:28 commits, 19 pushes, 11 branches in 29 days
Contributions summary:Wenyu primarily focused on updating the chisel-tutorial repository to utilize the Chisel3 library. The user added necessary dependencies and submodules for Chisel3 and chisel-testers, as well as updating the build configurations. They also converted example code and the solutions folder to work with Chisel3, and made additional adjustments for compatibility. This suggests a focus on migrating the existing tutorial examples to the newer version of the Chisel library.
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