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Lamia Youseff

Ph.D., M.Sc., MsM
Cloud, Systems and ML Platforms
Tech Executive | Speaker | Investor | Startup Advisor 

 

 

 

 

 

 
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Hello ... I'm Lamia!

 

I am a Silicon Valley executive focused on building and scaling businesses and technical capabilities (ML, Cloud) for hyper-growth enterprise technology products and startups. Twenty-five years of experience in AI/ML and cloud, and in leading and influencing engineering teams at Apple, Facebook, Microsoft and Google. Proven leadership in understanding strategic enterprise needs and delivering features to profitably meet those needs, including the creation of multiple billion dollar businesses and large scale geographically-distributed engineering organizations. Proven track record of growing small teams into mature scalable, multi-tiered organizations that are poised to deliver high quality products and large scale platforms. Experience delivering technical strategies to enter new markets and building out new technical capabilities to deliver against those opportunities. 

 

Specialties: AI/ML platforms, Cloud Computing, Engineering Organizational Development and Change Management, Engineering leadership, Technical Execution, Operational Rigor, Product Management, Technology Strategy

 

Education: MIT/ UCSB (Computer Science: Systems and AI), Stanford GSB (business management & strategy)

EXPERIENCE
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EXPERIENCE
2022-Current

Executive Director

Jazz Computing

Simplifying AI Tech ... Amplifying AI Opportunities by Decoding Complexity & Connecting Dots! 
www.jazzcomputing.com

2018-Current

Guest Lecturer

Stanford University

At GSB (Graduate School of Business), as a Sloan Fellow, I teach cases on technology strategy and strategic management/leadership as part of GSB MSx program for eXperienced & eXecutives Leaders.

2020-2022

Director of Engineering

Apple

Building & scaling the MEST org, focusing on Serving, Experimentation and ML platforms.

2018-2020

Researcher (Visiting), CS Departement, MLsys

Stanford University 

At Computer Science Department, I conduct research on scalable machine learning platforms with the DAWN research group.

2017-2018

Principal Technology Manager

Machine Learning Platforms

Facebook

  • Building and scaling FBLearner teams and technical capabilities. ​

  • Launched FBLearner "Customers Success Program," to prioritize customers ML needs, including heading the first FBLearner Summit and FBLearner Customer Success Stories.

  • Developed the tech strategy for FBLearner 2.0

2014-2017

Principal Technology Manager / Architect

Cloud Computing

Microsoft Azure

  • Leading Architectural and Technical analysis of Azure Solutions for high-profile Azure Fortune 500 enterprise customers with ~$10M+ in Azure consumption while working with engineering to identify and address gaps.

  • Led the product and technical development of Azure Network Analytics (aka Azure NetWatcher) and Azure Networking competitive positioning as part of the Azure Networking Product Group

2011-2014

Product Manager / Software Engineer

Cloud Computing

Google

  • Led several Google Cloud Storage (GCS) products and features, some of which were featured in articles by The Register, TNW, TechCrunch, eWeek, CloudBizNews. Media outlets have described my launches as “helps solve a big #cloud problem” and “exciting strides for #BigData in the cloud”

  • Led the coordination between the various global teams (~80+ googlers in 7 countries), which earned me several VP kudos, “exceeds-expectations” quarterly performance reviews and spot cash awards

As a Software Engineer;

  • Founding Engineer of Google Compute Engine (GCE), owning the disk at rest encryption and  VM startup time, These two features were among the most celebrated at GCE public launch by the industry commentators.

  • Led the characterization of performance overhead for HPC and scientific codes, as part of BigCompute team.

EDUCATION
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EDUCATION
2018-2019

Masters in Management Sciences (MBA Equivalent)

GSB Sloan Fellow

Stanford

With a focus on: Technology Strategy, Building & Scaling Organizations and Leadership.

2009-2011

Postdoc / Research Scientist

MIT

Research Focus: Distributed Cloud Operating System (fos): an OS for the cloud and many cores’ architectures, co-managing/ co-PI several grants including $17M DOD Exascale computing with Prof. Anant Agarwal. In addition to research and supervising students, I was awarded $200K NSF EAGER grant in 2010.

2003-2009

Ph.D. & M.Sc.

GPA: 3.85/4.0

University of California Santa Barbara

Dissertation Topic: Shared memory Programming Support for Virtualized High Performance Computing (HPC). Other Notable Work: Eucalyptus Open Source Architecture, Application Specific Linux with Prof. Rich Wolski

1998-2003

B.Sc. with Summa Cum Laude
GPA: 4.0/4.0

American University in Cairo

Major: Computer Science                  Minor: Electric Engineering​

Dean's List 1998-2003

Served in 2001-2002 as a teaching and research assistant in Advanced Artificial Neural Networks (ANN). 

PATENTS
PATENTS

J. Hellerstein, T. Pirtle and L. Youseff

Mirrored Stateful Workers

USA-9152458, Aug 2012

 

L. Youseff

Virtual cluster as a service (VCIaaS) 

USA-9678778, May 2014

 

Youseff; Lamia A. M., Maccarrone; Cory Todd, Bingham; Jonathan, Northrup; Eric Robert, Van Woudenberg; Scott James, Makarevich; Grigory

Dynamically Adjustable Virtual Machine

USA-9152458, Apr 2014

More pending.......

J. Hellerstein, T. Pirtle and L. Youseff

Mirrored Stateful Workers

USA-9152458, Aug 2012

 

MORE ... 
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