Feng Wu - Senior Technical Expert at 滴滴

Feng Wu

Senior Technical Expert at 滴滴

China

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Summary

👤

Senior

🎓

Top School

Feng Wu is a Senior Technical Expert with 26 years of software engineering experience and over a decade focused on Linux kernel and virtualization (KVM/Xen/QEMU). He has led kernel teams at Didi and driven virtualization architecture and community-facing contributions at Intel, combining hands-on device/driver work with system-level design. A maintainer for Xen VT-d and active contributor to the torvalds/linux tree, his kernel patches include substantive SLUB allocator and KASAN reliability improvements—work that touches one of the most prominent open-source projects. Familiar with x86, VT-x/VT-d, memory and interrupt management, he also brings rich embedded and safety-critical OS experience from Wind River and earlier roles. Feng pairs deep technical expertise with proven leadership in large-scale resource isolation and virtualization projects across industry and open-source communities.

26 years of coding experience

10 years of employment as a software developer

Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at WHU

Master's degree, Computer Architecture, Master's degree, Computer Architecture at HUST

Chinese

Github Skills (6)

c1710

memory-management10

kal10

c1110

linux-kernel10

k10

Programming languages (3)

ShellC++C

Github contributions (5)

torvalds/linux

Dec 2022 - Feb 2023

Linux kernel source tree

Role in this project:

Back-end Developer

Contributions:5 commits in 1 month

Contributions summary:Feng focused on memory management improvements within the Linux kernel's SLUB allocator. Their contributions included refactoring the `krealloc()` function, incorporating original size awareness for more accurate zeroing and redzone checks, and addressing issues related to kfence-allocated objects. Further contributions involved enhancing KASAN (Kernel Address Sanitizer) integration by modifying metadata storage, ensuring correct behavior. These changes aimed to improve the reliability and efficiency of memory reallocation within the kernel.

kernellinux-kernellinuxkernel-source

ftang1/user_setup

May 2018 - Jan 2019

Contributions:1 push, 1 branch in 8 months

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