Muhammad Sohaib Arif

Michigan, United States
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Summary

👤
Senior
Muhammad Arif is a Research Software Engineer with 11 years of experience applying machine learning, computer vision, robotics, and IoT to real-world problems across academia, startups, and enterprise. Currently at Ford Credit, he blends Python and C# expertise with hands-on hardware integration—building autonomous robots, real-time sensor interfaces, and BLE streaming systems. His work spans the full pipeline from low-level C++ sensor programming and bytecode decoding to cloud-deployed ML services using AWS Lambda and API Gateway. As a graduate researcher he published three papers on player tracking and collision detection, and he has a track record of turning slow manual data processes into automated pipelines that cut runtime dramatically. Comfortable moving between research and production, he often combines deep learning with traditional methods to handle skewed time-series data and fast-paced video analytics. Based in Dearborn, MI, he brings a practical, hardware-aware approach to building reproducible ML systems and mobile/desktop integrations.
code11 years of coding experience
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Stackoverflow

Stats
154reputation
18kreached
5answers
2questions
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Github Skills (55)

face10
python10
machine-learning10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
human-pose-estimation9
cpp8
opencv8
computer-vision8
keras-layer8
pose-estimation8
hardware8

Programming languages (5)

C#C++CJupyter NotebookPython

Github contributions (5)

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Tutorial on tensorflow sentiment analysis with data read using tensorflow's own reader
Contributions:16 commits, 14 pushes, 1 branch in 6 months
sentiment-analysistensorflow
Repository for Arm Robotics Challenge. Our group is making Plant Disease Marker
Contributions:170 commits, 129 pushes, 1 branch in 9 months
robotics
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