Yangang Gao is a Senior Software Engineer with 13 years of experience building high-performance systems, currently based in Haidian District, Beijing and working at Grab. He has strong low-level and systems expertise demonstrated by contributions to prominent open-source projects like cgminer (ASIC/FPGA mining drivers) and OpenHFT’s zero-allocation hashing (Java memory and Unsafe optimizations). His background spans large consumer tech companies including ByteDance and Qihoo 360, and he holds a Master’s in Computer Science from Xidian University. Yangang excels at hardware-software integration, cross-platform driver work, and Java performance tuning, often solving tricky compatibility issues such as big-endian support and environments without Unsafe.getByte(). Colleagues rely on him for pragmatic, performance-first solutions that bridge embedded firmware and backend infrastructure. He combines deep technical craftsmanship with a track record of shipping production-ready improvements in both C and Java ecosystems.
13 years of coding experience
3 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Xidian University
Contributions:1 release, 51 commits, 27 PRs in 1 year 4 months
Contributions summary:Yangang primarily focused on low-level optimization and performance improvements within the Java-based `openhft/zero-allocation-hashing` repository. Their contributions involved modifying `UnsafeAccess` to support runtime environments without `Unsafe.getByte()`, and enhancing `CharSequenceAccess` to handle unaligned offsets. The user also made adjustments to the code to support big-endian architectures. Their work demonstrates expertise in Java and memory access optimization.
Contributions summary:Yangang contributed to the cgminer project by adding and modifying code related to hardware drivers, specifically for Avalon and CPU mining. They compiled drivers for Windows environments, implemented serial communication functionalities, and integrated fan control mechanisms. Their work also included adjustments for scrypt mining and overall improvements to the mining core, reflecting a focus on device compatibility and performance.
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