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Heaven Klair is a skilled Machine Learning Researcher currently employed at Berkeley Lab, focusing on building Graph Neural Networks for high-energy particles at the Large Hadron Collider. Simultaneously, Heaven contributes as a Researcher at Applied Materials, optimizing advanced time series analysis and machine learning for semiconductor wafer tool data. Previous experience includes serving as a DevOps Data Intern at UCSB Information Technology, where Heaven developed a system to analyze extensive Kubernetes Cluster logs, improving error detection. Additionally, Heaven has tutored over 100 students in college-level math as a Learning Connection Math Tutor at Chabot College. Educational achievements include a Master of Science in Information and Data Science from UC Berkeley, a Bachelor's degree in Applied Mathematics from UC Santa Barbara, and an Associate's degree in Mathematics from Chabot College.