Summary
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