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