Cover Letter

To Whom it May Concern,

Please find attached a copy of my resume for your consideration.

Having worked within the software industry for twenty years, I have developed a wide range of skills that would meet, and exceed the expectations for the role.

In my present role as Principle Lustre Networking Engineer, I provide leadership and expertise to users of the Open Source, High Performance Computing File System, Lustre. Lustre is widely used in the HPC community. I’ve spearheaded important features in the LNet space, including Multi-Rail, GPU Direct Storage and others. I’ve worked along side NASA Ames; National Labs such as ORNL, LLNL, SNL; universities such as Stanford University, Harvard, Brigham Young University, Simon Fraser University (SFU), as well as many other public and private entities to gather Luster Networking Requirements, make recommendations and resolve issues they run into with their Super Computing Clusters.

I would appreciate an opportunity to talk with you regarding my experiences and how I can contribute to the success of your company. If you would like to get in touch to discuss my application and to arrange an interview, you can contact me via phone () or email: ()

I look forward to hearing from you.

Sincerely,

Amir Shehata


Publications

Conference

Presentation

Video

LUG 2014

LNet Dynamic Configuration

Video Link

OFA 2016

Multi-Rail Phase 1

Video Link

LUG 2017

Health Monitoring

Video Link

OFA 2017

Health Monitoring

Video Link

LUG 2018

Initial Multi-Rail deployment at NASA Ames

Video Link

LUG 2018

LNet Roadmap

Video Link

LUG 2019

LNet Feature Overview

Video Link

OFA 2020

LNet Multi-Rail feature Set

Video Link

OFA 2023

Open MPI and Libfabric on the Frontier Supercomputer

Video Link

OFA 2024

libfabric peer infrastructure

Video Link

SC 24

Enhancing HPC Resource Management to Integrate Quantum Workflows


QCE 24

https://www.hpcqc.org/wihpqc24 (Session 1)


Lustre Distributed Test Infrastructure

Developed a Python Infrastructure to test Lustre and Lustre Networking components. The infrastructure is designed to allow distributed testing over multiple compute nodes. The infrastructure is flexible to allow any sort of distributed work flow, not testing only.


Other Open Source Work

Project

Description

Blender Key Frame Manager

Animation utility to manage key frames for Blender 3D

MB-Lab

Contributed to a 3D character generation add-on for Blender 3D

Speech Parser Interface

C wrapper which uses pocketsphinx to perform speech recognition

Blender Speech parser add-on

A Blender 3D add-on which uses the Speech Parser program above to perform speech recognition and apply mouth shapes to a 3D model. It’s purpose is to perform automatic lip syncing

Blender Facial Expression

A Blender 3D add-on which uses OpenFace to track facial expressions and apply it on a 3D model. It’s purpose is to provide an automatic way to animate facial expressions

Rigify for MB-Lab

Contributed to a Blender 3D add-on which converts MB-Lab’s armature to a Rigify armature

Asset Manager

A Blender 3D add-on to manage 3D assets directly within the application

Icon Display

A small Blender 3D add-on to display all available icons for use in Blender Python extensions.