Feng Jiang is a software engineer with eight years of experience bridging high-performance research and production engineering, currently working on infrastructure and training systems at ByteDance after accelerating Spark workloads on NVIDIA GPUs. He holds a master's in computer science from USC with a focus on high-performance computing and has driven practical GPU optimizations for FlashAttention that improved memory and compute efficiency. Feng combines academic rigor—experience as a research assistant and teaching assistant—with hands-on product work, from distributing an Electron-based circuit simulator to shipping system software for data science platforms. Based in Los Angeles and with prior PhD-level research ties to Zhejiang University, he brings a rare mix of deep performance optimization skills and pragmatic delivery across GPU, CUDA, and distributed systems.
8 years of coding experience
1 year of employment as a software developer
Master's degree Computer Science(High Performance Computing and Simulation), Master's degree Computer Science(High Performance Computing and Simulation) at University of Southern California
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Coastal Carolina University
Contributions:18 commits, 1 PR, 10 pushes in 2 months
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