Aral Sarrafi
Applied Scientist Computer Vision at Amazon
Massachusetts, United States
Summary
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Senior🎓
Top SchoolAral Sarrafi is an Applied Scientist specializing in computer vision with eight years of experience turning research into production-grade solutions across Amazon, Motorola Solutions, and Avigilon. He focuses on object detection, multiple object tracking, and edge video analytics, taking prototypes from feasibility studies through to deployed systems. With a PhD-rooted background in mechanical engineering and dynamics, he blends rigorous research methods with practical sensor-fusion and real-time constraints. He has a track record of building evaluation systems and unusual-activity detection pipelines and mentors students on applied vision problems. Based in Massachusetts, he brings a rare combination of academic depth and hands-on product delivery in safety- and mission-critical video applications.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Mechanical Engineering. Applied Mechanics, Bachelor's degree, Mechanical Engineering. Applied Mechanics at University of TabrizUMass LowellIntro to Self-Driving Cars Nanodegree, Intro to Self-Driving Cars Nanodegree at UdacityMaster of Science (M.S.), Mechanical Engineering.(Dynamic Systems and Control), Master of Science (M.S.), Mechanical Engineering.(Dynamic Systems and Control) at University of Tehran
English, Persian, Azerbaijani, Turkish
Stackoverflow
1reputation
0reached
0answers
0questions
Github contributions (5)
Aral-Sarrafi/Self_Driving_Car_Simulation_In_MATLAB
Sep 2018 - Dec 2018
Contributions:57 commits, 41 pushes, 1 branch in 2 months
Aral-Sarrafi/Behavioral_Cloning_In_Keras
Apr 2018 - Sep 2018
Contributions:30 pushes, 1 branch in 5 months
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