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Amir Moradi is listed as Graduate Research Assistant at Concordia University, based in Montreal, Quebec, Canada. AeroLeads shows a matched LinkedIn profile for Amir Moradi.
Amir Moradi previously worked as Software Engineer at Caspian Consulting Inc and AI Research Intern at Department Of National Defence. Amir Moradi holds Bachelor'S Degree, Aerospace, Aeronautical And Astronautical Engineering from Sharif University Of Technology.
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Experienced Machine Learning Engineer with a proven track record of leveraging generative AI and advanced machine learning techniques to solve real-world problems in diverse industries. Skilled in critical thinking, agile methodologies, and collaborative team environments, with extensive experience in designing and implementing AI-driven solutions that enhance operational efficiency and decision-making. Proficient in developing innovative tools, optimizing workflows, and deriving actionable insights from complex datasets to drive impactful outcomes.
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Montreal, Quebec, Canada
• Engineered and trained a stable diffusion model to enhance cybersecurity in autonomous vehicle navigation systems.• Utilized cloud-based GPU training and Docker for scalable and efficient model development and deployment.• Performed comprehensive performance monitoring during and after training to ensure model robustness and reliability.
Longueuil, Quebec, Canada
• Led deployment and maintenance of Blue Yonder WMS on AWS, integrating Databricks for advanced data analytics and using Git for version control.• Established CI/CD pipelines with Jenkins, streamlining development processes in Agile and DevOps environments using AWS, Jira, and Confluence for task tracking and documentation.
• Designed and trained LSTM models for cybersecurity enhancement by analyzing ship system data, successfully detecting and mitigating cyber threats.• Developed transformer models with advanced attention mechanisms to improve the efficiency of sequential data processing in naval systems.
Tehran, Iran
• Developed AI-driven software for autonomous aerial monitoring of solar power plants, achieving 93% fault detection accuracy.• Implemented deep learning models to extract solar power plant boundaries and optimize flight paths, reducing inspection time.• Enhanced operational efficiency by integrating real-time image processing and autonomous drone navigation.
Thesis: Design and Implementation of Horizontal Speed Measurement for Quadrotor Stability based on Vision Sensor and Optical Flow.
Thesis: Integrated Software Package for Autonomous Aerial Monitoring of Large Scale Photovoltaic Plants based on Deep Neural Networks
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Amir Moradi works for Concordia University.
Amir Moradi is listed as Graduate Research Assistant at Concordia University.
Amir Moradi is based in Montreal, Quebec, Canada while working with Concordia University.
Amir Moradi has worked for Concordia University, Caspian Consulting Inc, Department Of National Defence, and Solar Azmoon.
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Amir Moradi holds Bachelor'S Degree, Aerospace, Aeronautical And Astronautical Engineering from Sharif University Of Technology.
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