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Jacob Marks

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🔍 Machine Learning Engineer & Developer Evangelist at Voxel51 | 🎓 Ph.D. in Theoretical Physics from Stanford University 🔹 Focus Areas: Artificial Intelligence, Machine Learning, Computer Vision, Data Curation, Startups 🌐 Transforming Data Transparency & Clarity at Voxel51 At Voxel51, I work on AI-driven solutions, data visualization, and curation tools to make the world's data more transparent and actionable. Recent/ongoing efforts related to large language models, vector search, synthetic data, and MLOps. 🛠️ Previous Experience • Google X: Applying probabilistic AI to quantum computing (70+ citations) • Samsung Research: Machine learning and physics-based algorithms for secret projects (Patent-pending). • Wolfram Research: Led development of Wolfram Quantum Framework • CERN: Deep neural networks for identifying particles in collisions. • Institute for Quantum Computing, Canada: Published peer-reviewed quantum computing research (1st author) as undergrad • Stanford Institute for Theoretical Physics: Multiple 1st author publications and doctoral dissertation in symmetric protected topology (condensed matter theory) • Synphonic: Founded startup to help musicians monetize their creative process, going from idea to MVP and revenue. 📝 Writing I've contributed to Physics World magazine and regularly write technical blog posts on topics like AI, ML, and data science on Medium (6,900+ followers). ✍️ Versatility Whether it's Python code, academic papers, prose, or pitch decks, I bring the same level of expertise and enthusiasm. Don't put me in a box. 🤝 Let's Connect! I'm always open to new opportunities and collaborations in AI, machine learning, computer vision, and data curation. Feel free to reach out!

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