Moe Sani

Visionary engineer and innovator specializing in robotics, embedded systems, and machine learning. Currently contributing to cutting-edge advancements in edge AI.

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Moe Sani

About Me

Mohammad Fattahi Sani (Moe Sani) is a visionary engineer and innovator specializing in robotics, embedded systems, and machine learning. Currently, he contributes to cutting-edge advancements in edge AI at Edge Impulse, the leading platform for developing and deploying AI on edge devices.

At Edge Impulse, Moe leverages his expertise to empower developers worldwide in building intelligent, low-latency solutions for microcontrollers, sensors, and cameras—reducing costs and accelerating time-to-market for next-generation products.

Prior to this, Moe served as Associate Principal Software Engineer at Dyson's Future Robotics department, where he and his team were driving innovation for Dyson's next generation of robots.

Recognized as Exceptional Global Talent by UK Tech Nation in 2021, he also serves as an Industrial Mentor at Dyson Institute of Technology (DIET) and University of Bristol.

Expertise

Machine Learning Robotics Edge AI Embedded Systems IoT Computer Vision Software Engineering Innovation

Projects

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SMARTsurg Project

Contributed to groundbreaking surgical robotics project at Bristol Robotics Laboratory, focusing on intelligent surgical assistance systems.

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Robot Teleoperativo

Developed advanced teleoperation systems at Italian Institute of Technology for remote robotic control applications.

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Edge AI Solutions

Leading innovation in edge AI deployment, helping developers build intelligent IoT solutions with reduced latency and costs.

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Publications

Edge AI for Industrial Applications

Research paper on implementing edge AI solutions in industrial settings, focusing on real-time decision making and reduced latency.

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Advanced Teleoperation Systems

Technical publication on next-generation teleoperation frameworks for remote robotic control in hazardous environments.

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ML Optimization for Embedded Systems

Study on optimizing machine learning algorithms for deployment on resource-constrained embedded systems.

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All Publications

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Looking for technical advice? Interested in expert consultation, advice, or just a quick chat? Don't hesitate to reach out! Whether you're navigating complex software engineering challenges or seeking insights into robotics and technology, I'm here to help.