Nick is a developer, educator, public speaker, and technology specialist with deep experience in Cloud Native Computing as well as AI and Machine Learning. During his career, Nick built pioneering Internet, cloud, and metaverse applications, and has helped numerous clients adopt Machine Learning applications and workflows. Nick is co-leading several streams in Generative AI Commons, under Linux Foundation Data & AI.
Technologies: Generative AI, Classical Machine Learning, Neural Networks, Cloud Native
Industries/areas: IT, Web, Computer Vision, Education, Metaverse
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Alex is a seasoned entrepreneur and researcher in artificial intelligence (AI), machine learning, image recognition, robotics, and biotechnology. Alex holds a Ph.D. with 20+ years of experience in setting up and managing internationally distributed remote and hybrid teams, as well as strong R&D hands-on skills.
Always excited by the new challenges from generating decisions to managing under the most extreme conditions, to deliver the result. Love R&D-intensive projects, where the synergy between business development and the strongest technology is the core value of the whole project.
Technologies: Deep learning, decision trees, reinforcement learning, language models
Industries/areas: Computer Vision, IT, Cybersecurity, Automotive, Biotech, Web
Over the last seven years, Jonathan has been a leading figure in the field of artificial intelligence. He has dedicated the past six years to spearheading AI and machine learning projects at Google, collaborating with major enterprise organizations. Presently, Jonathan is at the helm of Shujin AI, a specialized AI consultancy known for its expertise in Generative AI. Shujin AI engages in a variety of AI and ML projects, catering to a diverse range of clients including rapid-growth AI startups, large enterprises, and sectors like the military, government agencies, finance, as well as major tech firms like those in the FAANG group.
Technologies: Generative AI, deep learning, reinforcement learning, language models
Industries/areas: Gov, Finance, Insurance, Advertising, Retail, E-commerce
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Ran Shadmi holds a B.Sc. in communication systems engineering and an M.Sc. in biomedical engineering.
Ran is a machine-learning & deep-learning expert, specializing in computer vision and image processing applications. Ran holds a master's degree in medical image processing from Tel-Aviv University, with a research thesis on brain connectivity analysis.
With 15 years of experience in both practical research and hands-on development of sophisticated end-to-end machine learning and computer vision projects, Ran is experienced in all aspects of ML / CV project development, including business problem identification and definition, data gathering, storage & labeling, algorithm development, and experimentation cycle definition & development. Ran is both a savvy hands-on developer and has broad experience in mentoring cross-discipline company teams towards delivering algorithm-based products.
Technologies: Computer Vision, Image Processing, Deep Learning, Machine Learning, Python, and all the prominent scientific libraries (such as PyTorch, Numpy, ScikitLearn, and more).
Industries: Biomedical, construction, agriculture, any industry which is more conservative by nature and less "technological". Ran specializes in domains that require unique expert knowledge to understand, where the data is noisy and difficult to come by, the product goals are not clear, and in general, the machine-learning data-driven state of mind is yet to set in.
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Dr. Ofer Hermoni is a respected entrepreneur and a seasoned artificial intelligence and technology professional. He has a track record of successfully leading startups in the patents and privacy domains. As a co-founder and the former elected chair of the Linux Foundation AI & Data, Dr. Hermoni is recognized in the AI community for his significant contributions. He holds a Ph.D. in computer science and has secured over 60 patents in areas such as AI, networking, security, and blockchain, showcasing a blend of entrepreneurial acumen and technical expertise.
Currently, Ofer chairs the Generative AI Commons' Education & Outreach committee and is an active member of the Trusted AI committee at Linux Foundation AI & Data. He is also a member of the Open-Source Initiative (OSI) committee defining Open-Source AI. His work advising a range of companies, from startups to multinational corporations, focuses on AI and Generative AI strategies, ethics, and implementation.
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David is an experienced cloud and business solutions architect and co-founder of CloudGeometry. He is a certified Six Sigma master blackbelt, holds patents in statistical methods for systems monitoring, as well as concentrations in statistics, operations and quantitative methods in public policy, work done in the course of completing graduate studies at the Yale University School of Management.
As a longtime Silicon Valley executive and a skilled & experienced tech leader, David has decades of experience in customer-facing roles, practicing product and service management grounded in process analytics. His work spans cloud infrastructure, analytics, mobile/embedded, and open source. He’s a startup veteran (10+ venture-funded companies, both successful outcomes and the other kind). He has also served 15+ years in product & business leadership roles at publicly-traded enterprise tech corporations.
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