Principal Machine Learning Scientist at Soft Robotics Inc.
Boston, Massachusetts, United States
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Summary
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Yaniv Hollander is a Principal Machine Learning Scientist with nine years of industry experience and a deep academic foundation (BSc/MSc/PhD from Technion) in aerospace and computational biomechanics. He has led and built data science and computer vision teams, designing production perception models for autonomous drones and real-time target detection systems. His background spans high-performance C++ and Python scientific programming, signal processing, imaging, and multi-dimensional compressive sensing applied across oil & gas exploration and remote sensing. Yaniv combines rigorous research experience from Paradigm and the Israeli Air Force with pragmatic product delivery at startups, routinely owning end-to-end algorithm development and data collection efforts. He excels at integrating cross-disciplinary scientific methods into robust engineering systems, and brings a rare blend of aero-structural modeling expertise to modern perception and deep learning problems. Based in Boston, he focuses on turning complex sensing challenges into deployable analytics pipelines.
9 years of coding experience
19 years of employment as a software developer
BSc, Aerospace Engineering, BSc, Aerospace Engineering at Technion - Israel Institute of Technology
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