Our team

Mehrandezh is a seasoned roboticist with vast experience extending to various domains, including the creation and advancement of products utilized in precision agriculture, robotics, and unmanned systems. Furthermore, he has contributed to numerous research and development initiatives known for their track record in transforming ideas into innovative solutions and inventions. Mehrandezh earned a PhD in mechanical engineering from the University of Toronto and completed a degree-certificate program in the Beedie School of Business at Simon Fraser University in Canada.

With a strong background in production line design and manufacturing, Osgouie brings over 20 years of expertise in industrial automation, mobile robots, remotely operated vehicles, unmanned systems, and control. His expertise extends to energy systems, where he has explored innovative solutions such as energy harvesting to enhance efficiency and sustainability in industrial settings. He holds a PhD in Mechanical Engineering. Furthermore, he has worked in power transmission line and parts producers, leveraging his engineering acumen to integrate automation and energy harvesting technologies for improved operational performance.

Nazeri is a seasoned Mechanical Engineer specializing in supply chain management and quality control. His expertise encompasses supplier readiness, quality assurance, and process optimization, leveraging methodologies such as APQP, PPAP, and Lean Six Sigma (Black Belt). His proficiency in tools like 8D, PDCA, and DMAIC enables him to conduct thorough root-cause analyses and implement preventive measures. His background reflects a strong emphasis on Design for Manufacturability (DFM), Geometric Dimensioning and Tolerancing (GD&T), and Process Failure Mode and Effects Analysis (PFMEA), ensuring compliance with ISO 9001 and IATF 16949 standards.

Derhami is the Chief scientist on Artificial Intelligence and Computer Vision at Precision Pursuit Robotics. His expertise includes reinforcement learning, machine learning, fuzzy systems, control, and robotics, specifically in assistive imaging systems for dental implant surgery. His contributions to AI and robotics could provide foundational insights for developing sophisticated systems across various fields. His background reflects a strong focus on intelligent control systems and computational learning theory.