Jacob L
Director, Deep Learning Institute at The Retreat Yoga and Soulful Fitness
Austin, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolJacob L is an experienced AI and cloud product leader with 11 years driving enterprise and edge AI at NVIDIA, now directing the Deep Learning Institute from Austin. He combines deep technical roots—early career performance engineering at Dell and AMD and OpenStack contributions focused on refactoring and robustness—with product leadership building NVIDIA AI Blueprints, data platforms, and edge systems for 5G and autonomous applications. Jacob is skilled at translating complex distributed systems and low-latency hardware-software co-design into deployable enterprise solutions and training programs. He also brings an uncommon blend of coaching and community work—founding and coaching championship rugby teams and co-owning a yoga studio—that informs his collaborative leadership and developer education focus.
11 years of coding experience
25 years of employment as a software developer
Master's Degree, Education, Master's Degree, Education at The University of Texas at AustinResearcher, Computer science, Researcher, Computer science at Texas State UniversityBachelor's Degree, Creative Writing, Russian Literature, Bachelor's Degree, Creative Writing, Russian Literature at University of Wisconsin-Madison
Github Skills (5)
refactoring10
openstack10
python10
refactor10
rest-api9
Programming languages (5)
Github contributions (5)
openstack/rally
Jan 2015 - Mar 2015
Rally provides a framework for performance analysis and benchmarking of individual OpenStack components as well as full production OpenStack cloud deployments. Mirror of code maintained at opendev.org.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:14 commits in 2 months
Contributions summary:Jacob's commits primarily focus on refactoring and code style improvements within the Rally project. They replaced single quotes with double quotes across multiple Python files, ensuring consistent code formatting. Additionally, they addressed bug fixes by modifying code in various project modules, including those related to the REST API and client interactions, which shows a deep understanding of Rally's core functionalities. These modifications suggest a focus on maintaining and improving the project's codebase.
benchmarkingopenstack
jliberma/cv
Sep 2015 - Aug 2022
Contributions:27 pushes, 1 branch in 6 years 11 months
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