Amitai Perlstein
Senior Sw Group Manager Staff Ml Engineer @Torc Robotics
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WORK HISTORY
Senior Sw Group Manager Staff Ml Engineer @Torc Robotics
DE
Led a 3-teams group for Prediction and 2 Path Planning teams. • Enabled first-time adoption of a data-driven Planner by creatively solving complex data issues.• Pioneered robust AI path-planning solutions accounting for noisy inputs from Perception and Tracking.• Served as Staff ML Leader for the Prediction & Planning department, mentoring engineers and ensuring architectural excellence.
EDUCATION
The Hebrew University of Jerusalem
Bachelor of Science - BS
Technion - Israel Institute of Technology
Doctor of Philosophy - PhD
Munich International School e.V.
IB
The Hebrew University of Jerusalem
Master of Science - MS
ABOUT AMITAI PERLSTEIN
With over a decade of experience advancing machine learning and AI technologies, I’ve developed and led high-performing engineering products across diverse domains—from Computer Vision and Bayesian Inference to Autonomous Driving. Over the past 5+ years, I’ve designed and led the development of data-driven models for MOT, prediction, and path planning, creatively tackling challenges with noisy and scarce data while driving practical, production-ready solutions. Clever architectural approaches and simple yet innovative solutions have enabled my teams to bridge the gap between \"academic\" AI solutions and product deliverables. This work has set new benchmarks for autonomous systems, ensuring vehicles navigate driverless with unmatched accuracy and safety. Throughout my career, I’ve focused on resolving technology bottlenecks with strategic, out-of-the-box solutions and elevating organizations’ data strategies. At Torc, I’m particularly proud of shifting the organization’s approach to data, making it a cornerstone for Tracking, Prediction, and Planning—not just Perception. As my recommendations highlight, I excel at enthusiastically mentoring teams, fostering innovation, and delivering AI solutions that balance mathematical rigor with real-world applications.
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