Luis Chamberlain

@mcgrof

Principal Engineer · Linux Kernel Developer · Storage Systems Expert

About

I'm a Linux kernel engineer with deep expertise in storage systems, memory management, and file systems. Currently at Samsung Electronics, I lead initiatives that bridge hardware innovation with kernel development, focusing on enabling next-generation storage technologies through upstream Linux contributions.

With over two decades in systems engineering, I've contributed to core Linux subsystems, maintained critical kernel infrastructure, and helped shape open source governance. I believe in solving hard problems through collaboration and open development.

Experience

Dec 2021 – Present
Principal Engineer
Samsung Electronics
Led High Capacity QLC SSD enablement through Linux memory management and XFS Large Block Sizes support, solving a 17-year community challenge. Received Samsung Presidential Award (July 2025). Now aligning storage/memory solutions with AI innovations.
Jan 2020 – Dec 2021
Linux Kernel File System Developer
SUSE
Worked on file system development and kernel maintenance.
Jul 2018 – Oct 2019
Principal Engineer
State Street
Storage architecture for Causeway Data Lake and Kubernetes deployments.
Jan 2014 – Jul 2018
Linux Kernel Engineer
SUSE Labs
Xen pvops migration, XFS maintainer.
Apr 2008 – Dec 2013
Senior Linux Kernel Developer
Qualcomm Atheros
15th top corporate Linux kernel contributor during this period.
May 2006 – Apr 2008
Software Engineer
Rutgers WINLAB
Wireless drivers and regulatory frameworks.
Earlier
Various Roles
Merrill Lynch, Vonage, Rutgers
AVP Global Tech, Security Engineer, Systems Programmer.

Key Projects

2025

Linux Large Block Sizes

NVMe QLC enablement through XFS large block size support in the Linux kernel.

2018

kdevops

Linux kernel development and testing automation framework.

2017

OSHWA Board

Board Member of the Open Source Hardware Association.

2015

Linux Kernel Backports

Backport automation for Linux kernel drivers.

2008

CRDA

Central Regulatory Domain Agent for wireless regulatory compliance.

Current Focus

Currently exploring AI inference optimization, focusing on efficient memory utilization and hardware-software co-design for large language model deployments. My work bridges the gap between cutting-edge hardware capabilities and the software infrastructure needed to fully leverage them.

Education

2013

R&D Collaboration

Inria — Coccinelle backporting research

2003

B.S. Computer Science

Rutgers University

Contact

Email: mcgrof@do-not-panic.com GitHub: github.com/mcgrof Blog: people.kernel.org/mcgrof