LF AI & Data General Member Representative - Founder/CEO of Datastrato
Junping Du
Junping Du is the founder and CEO of Datastrato. His rich and broad Open Source experience spans numerous roles, including: Enterprise Open Source Department Officer, Open Source Foundation Officer, Community Organizer & Evangelist and Technical Expert. He received his Bachelor of Science in Computer Science from Tianjin University, and his Masters in Computer Science from Peking University.
Director, AI/Machine Learning Server at SAS
Jorge Silva
He currently works as Director of AI/Machine Learning Server at SAS, a position he began in June 2022. Prior to this, he spent two years as SAS’s Senior Manager of Machine Learning, two years 9 months as Principal Developer of Machine Learning, and 4 1/2 years as Senior Research Statistician Developer. He began his distinguished career as a Senior Research Scientist at Duke University from 2007-2012.
Senior Director, Machine Learning Department at OPPO
Liam Zheng
Liam Zheng is the director of OPPO’s machine Learning department, overseeing the development of Starfire machine Learning platform, GXL, Dense scene solutions and Sparse scene solutions. His research mainly focuses on general artificial intelligence of computer vision, nature language processing, and recommendation system. He founded the project of the collaborative machine learning platform between edge and cloud, which now represents a broad spectrum of OPPO technology.
VP of Azure AI Platform and Customer Experience Engineering at Microsoft
Ali Dalloul
Ali has held many leadership roles at Microsoft, built multiple businesses from the ground up and scaled them, driven product incubations, and most recently, scaled Microsoft’s AI business to hundred of millions of dollars, as VP of Azure AI Strategy & Commercialization. He led the Ambient Intelligence AI product team, and was responsible for the product & business vision & strategy, product management. He also led the team to innovate on Computer Vision in retail, resulting in many patents. As Chief of Staff & GM, Business Operations & Strategic Initiatives for Applications & Services Group (ASG), he oversaw a $30B+ P&L and developed the AI strategy with Dr. Qi Lu for Microsoft, then EVP of ASG, leading to the formation of the AI & Research division.
Ali was also responsible for the technical program governance for the Office of the Microsoft CEO, working directly with Bill Gates, who was the Technical Advisor to Satya Nadella, to facilitate the cross-Microsoft technical strategy development and alignment.
His prior roles at Microsoft include GM of Microsoft’s Sharing Economy strategic initiative, where he built the overarching Microsoft company-wide strategy, and helped incubate calendar.help, an AI-powered virtual assistant, which resulted in today’s Microsoft 365 Freelance Toolkit. He was a founding member of Microsoft Middle East & Africa (MEA), as GM of the North Gulf; then moved to the UK, as GM of Operations, Systems, & Tools, overseeing a $11B business; then as GM of Enterprise & Partner Group (EPG) Specialist Sales across EMEA, running the enterprise business worth over $10B today.
LF AI & Data TAC Chairperson - Developer Relations and Industry Partnerships Manager - ByteDance
Vini Jaiswal
Vini Jaiswal is a Data and AI practitioner, advisor and contributor who worked on some of many popular open source projects including Apache Spark, Delta Lake and MLflow.
With over a decade of experience in data science and AI, she is contributing to innovation with the companies around the world and passionate about advancing the technology space and collaborating with the global community of developers, researchers, and practitioners. She also serves as a co-chair for the Grace Hopper Open Source, a keynote speaker, a published author, and a recognized influencer in the data and AI domain. She has been featured as one of the top inspirational women in AI and one of the top data influencers. She also received multiple awards and recognition for her customer and partner obsession, cloud tech innovation, and community building. She regularly shares her knowledge, insights, and best practices through various platforms including industry conferences and academic partnerships. She has the attitude of helping teams succeed with their mission to solve global issues. She actively engages in content creation, mentoring, and a champion of great work people do, and helps them grow in their career aspirations.
LF AI & Data Governing Board Chairperson | Director of Standard and Open Source at ZTE
Wei Meng
Wei Meng, Director of Standard and Open Source Planning at ZTE. He is based in Nanjing, China. He has led technical pre-research of ZTE on artificial intelligence since 2016. He is committed to the research of “AI in 5G” and has been elected as the chairman of ITU-T FG-ML5G WG3 (Working Group of Architecture of Machine Learning in future network at ITU-T) in 2018. Most recently, he was elected as a vice chairman of general WG at AIIA (Artificial Intelligence Industry Alliance). In these roles, he has chaired and organized multiple conferences in AI and 5G fields.
Mr. Wei Meng is the author of several standards at IETF and ITU-T on AI/NFV and has been granted more than 20 China and international patents.
Zeljka Lemaster
Zeljka Lemaster is the Senior Director, Strategic AI Engagements, within Global AI Accelerator (GAIA) at Ericsson. She got her Master’s degree in Computer Science from University of Zagreb, Croatia. Prior to joining Ericsson, Zeljka worked at number of startups and midsize companies where she led teams of Data Scientists and Developers focused on building high performance enterprise products that have AI/ML methodology and Data Analytics deep in their DNA.
As part of her role at GAIA she is focused on identifying functionality within Ericsson’s product and services portfolio that would benefit the most from solutions based on AI/ML methodology and Telco AI competency developed within GAIA. Zeljka is also part of Ericsson’s Ecosystem and Partnership team that works with global and Silicon Valley companies with a goal to identify best of breed tool and solution providers, leverage the most innovative technology collaborations, and drive development of joint offerings that benefit our customers.
:https://www.linkedin.com/in/zeljkalemaster/
LF AI & Data General Member Representative and Generative AI Commons Chair; Head of Open Source Operations and Marketing at Futurewei
Anni Lai
Anni Lai is the Head of Futurewei Open Source Operations and Marketing. She drives Futurewei’s open source governance, process, compliance, training, project alignment, and ecosystem building. Anni has a long history of serving on various open source foundation boards such as LF CNCF, LF OCI, LF Edge, and OpenStack Foundation, and is currently on the LF AI & Data, Open Metaverse Foundation, LF Europe Advisory boards, and Kaiyuanshe.org Advisory Committee. Anni has been instrumental in growing various open source projects and building ecosystems in the areas of Cloud Native, Edge, AI, and Metaverse.
Prior to Futurewei, Anni worked at companies such as Oracle, Salesforce.com, Savvis (acquired by Centurylink), Fast Search and Transfer (acquired by Microsoft), and Sun Microsystems (acquired by Oracle) in the areas of product mgt/marketing, technology evangelism/developer relations, partner strategy/recruitment/mgt, and enterprise business development & consulting.
Anni firmly believes in creating great technology via open innovation and collaboration with the global community. She has traveled to 30+ countries, and 5 continents as a technology evangelist, consultant, strategist, and executive. Beyond professional commitments, Anni was able to utilize her community-building skills from Open Source to serve her local community as a trustee at the Santa Cruz Museum of Art and History for 3 years.
Anni holds an MS & a BA degree in Computer Science and is currently working in Silicon Valley, USA. Anni has completed NACD (National Association of Corporate Directors) Director Professionalism Training.
Distinguished Engineer and Director of AI and Cloud Open Technologies at IBM
Brad Topol
Dr. Brad Topol is an IBM Distinguished Engineer and Director of AI and Cloud Open Technologies who also serves as IBM’s Chief Developer Advocate. In his current role, he leads the global IBM team developing open source technologies and working in open communities. He has overall responsibility for IBM’s open source strategy, upstream development, community building, education, and client initiatives. He leads a development team with responsibility for contributing to and improving several AI and cloud-native open source technologies including PyTorch, KubeFlow, KServe/ModelMesh, Ray, Kubernetes, Tekton, OpenTelemetry, and Operator Framework. He also serves as a LF AI & Data Governing Board Member, and as a CNCF alternate Governing Board Member. He is a co-author of Hybrid Cloud Apps with OpenShift and Kubernetes, a book published by O’Reilly Media in 2021. In addition, he is a co-author of Kubernetes in the Enterprise, a book published by O’Reilly Media in 2018. He received a Ph.D. in Computer Science from the Georgia Institute of Technology in 1998.
General Manager of Computing Open Source Development Team, Huawei
Zhipeng Huang
Zhipeng Huang currently serves as Open Source Operation Manager for Huawei. Zhipeng has been involved with various major open source communities and is now the Project Team Lead of the OpenStack Cyborg project, co-chair of OpenStack Public Cloud WG, and co-lead of the Kubernetes Policy WG.
Zhipeng began his career in 2014, as Team Lead of the Open Source Team at Huawei’s Cloud & AI BG Open Source Ecosystem Department. He received his Bachelor of Science in Electrical, Electronics and Communications Engineering from Nanjing University of Posts and Telecommunications, and his Master of Science in Computer Engineering from the University of California Irvine.
Senior Principal Technologist at Amazon Web Services (AWS)
Brian Granger
Brian Granger is a leader of the Python project, co-founder of Project Jupyter, and an active contributor to a number of other open-source projects focused on data science in Python. In 2016, he co-created the Altair package for statistical visualization in Python. He is an advisory board member of the NumFOCUS Foundation, a faculty fellow of the Cal Poly Center for Innovation and Entrepreneurship, and the Sr. Principal Technologist at Amazon Web Services.
Sr. Staff Developer Advocate, Databricks
Denny Lee
Denny Lee is a long-time Apache Spark™ and MLflow contributor, Delta Lake maintainer, and a Sr. Staff Developer Advocate at Databricks. A hands-on distributed systems and data sciences engineer with extensive experience developing internet-scale data platforms and predictive analytics and AI systems. He has previously built enterprise DW/BI and big data systems at Microsoft, including Azure Cosmos DB, Project Isotope (HDInsight), and SQL Server. He was also the Senior Director of Data Sciences Engineering at SAP Concur. He also has a Masters of Biomedical Informatics from Oregon Health and Sciences University and has implemented powerful data solutions for enterprise Healthcare customers. His current technical focuses include AI, Distributed Systems, Delta Lake, Apache Spark, Deep Learning, Machine Learning, and Genomics.
Chief Executive Officer, Neural Magic
Brian Stevens
As the Chief Executive Officer of Neural Magic, Brian brings vast experience in open source, enterprise, and hyper-scale cloud to the team. Before joining Neural Magic, Brian was Vice President and CTO of Google Cloud and Executive Vice President and CTO of Red Hat. Brian leads Neural Magic as it continues to create groundbreaking algorithms and tools that bring software, rather than specialized hardware, back to center stage in machine learning infrastructure.
VP of Data Center and Artificial Intelligence at Intel Corporation
Bill Pearson
As VP of Data Center and Artificial Intelligence at Intel Corporation, Bill Pearson leads teams delivering Data Center and AI solutions for the ecosystem.
In prior roles at Intel, Pearson led the team responsible for delivering software tools and solutions to help developers get their jobs done in creating wonderful end-to-end solutions and solving their biggest problems. He also led developer programs and engineering for the Internet of Things, delivering technical application enabling and scale of edge-to-cloud ecosystem applications deployments. Other roles at Intel include leading developer experience and strategy, product management, developer programs, and community support for the complete product portfolio for Server, PC, and Mobile segments and related open-source projects.