About

Zach B. is a highly skilled machine learning engineer with a passion for exploring the technical, societal, and economic implications of AI and technology. He is currently working as a Machine Learning Engineer at bolt, where he is researching the application of deep learning on medical imaging. His work involves using CNNs to automate the scoring of chest X-rays, and he has published an article on this topic in the Journal of Cystic Fibrosis. Before joining bolt, Zach worked as a Machine Learning Engineer at nio, where he focused on solving autonomous driving problems using AI techniques such as deep learning and reinforcement learning. He has also worked as a Machine Learning Researcher at Stanford University, where he researched the application of deep learning on medical imaging. Zach holds a Master of Science (M.S.) in Computer Science from Stanford University, a Bachelor of Science in Engineering in Computer Engineering from the University of Pittsburgh, and has completed a semester exchange program at the National University of Singapore. He has a broad range of technical skills, including ML, Deep Learning, AI, P2P, Reinforcement Learning, infra, and Research Scientist. In addition to his technical expertise, Zach is an avid photographer and a partner for educational outreach. He is committed to using his skills and knowledge to make a positive impact on society and to help others learn and grow. With 4.10 years of relevant experience, Zach is a highly talented and accomplished machine learning engineer with a bright future ahead of him.