Mohammad Mehralian
Senior Computer Vision Engineer at Rasad-tech
Tehran, Iran
Summary
👤
Senior🎓
Top SchoolMohammad Mehralian is a founder and seasoned computer vision engineer with over 10 years building production-grade CV systems for surveillance, ITS, and embedded platforms. He combines deep theoretical expertise in multiple-view geometry, SLAM/VO and a novel EKFPnP contribution from his research with hands-on skills in modern deep learning (TensorFlow, YOLO) and high-performance C++ development. Mohammad has delivered real-time, high-uptime video analytics—counting millions of vehicles—optimizing inference with TensorRT and deploying on Jetson Xavier NX. He is comfortable across the stack: algorithm design, multi-threaded C++11+ systems, Qt/ImGui GUIs, and cloud-based analytics. Based in Tehran, he bridges academia and industry, having moved ideas from a MATLAB 3D-reconstruction prototype into robust commercial products. Beyond code, he brings an engineer’s depth in math and system design that helps turn complex geometric problems into reliable, deployable solutions.
11 years of coding experience
7 years of employment as a software developer
Amirkabir University of TechnologyDoctor of Philosophy (PhD), Artificial Intelligence and Robotic, Doctor of Philosophy (PhD), Artificial Intelligence and Robotic at Iran University of Science and Technology
English, Arabic, Persian
Stackoverflow
1,274reputation
96kreached
19answers
25questions
Github Skills (52)
sctp9
kalman-filter9
datachannel9
crud9
sqlite8
cpp8
labelimg8
face-tracking8
php8
laravel8
hungarian-algorithm8
annotations8
imagenet8
libdatachannel7
peer-to-peer7
Programming languages (4)
Github contributions (5)
ma-mehralian/EKFPnP_matlab_toolbox
Jan 2020 - Jul 2021
EKFPnP: A new probabilistic approach based on Extended Kalman Filter for camera pose estimation in image sequences
Contributions:11 commits, 7 pushes, 1 branch in 1 year 5 months
kalman-filterpose-estimation
ma-mehralian/cheat_sheets
Sep 2015 - Jun 2018
Contributions:1 push, 1 branch in 2 years 8 months
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