Aurangzaib Siddiqui is a software engineer specializing in industrial robotics, computer vision, and machine learning with 13 years of engineering experience and a Master's in Electrical Engineering from Hochschule Rosenheim. He has driven measurable production improvements—reducing line delays from 16 to 2 minutes—and holds a patent for an AI-driven defect detection system deployed in packaging automation. His hands-on work spans PLC and robot path programming, embedded integration, and production-grade ML (RNN/LSTM/GAN/CNN) with strong tooling in C++, Python, TensorFlow, OpenCV, and MLOps on Azure/GCP. At Krones he merged robotics path planning with generative AI and simulation, while also optimizing inference latency from 80ms to 22ms through feature engineering and hardware evaluation. Based in Bavaria, he combines deep research-grade model development with pragmatic industrialization skills—optimizing both algorithms and the hardware/software stack for real-world automation.
12 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Electrical and Information Technology, 1.8/5.0 (German Grade), Master of Science - MS, Electrical and Information Technology, 1.8/5.0 (German Grade) at Rosenheim Technical University of Applied Sciences
Self-Driving Car Nanodegree, Self Driving Car, Self-Driving Car Nanodegree, Self Driving Car at Udacity
Bachelor of Engineering - BE, Electrical and Electronics Engineering, 2.3/5.0 (German Grade), Bachelor of Engineering - BE, Electrical and Electronics Engineering, 2.3/5.0 (German Grade) at NED University of Engineering and Technology
Contributions:153 pushes, 3 branches in 7 years 1 month
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Aurangzaib Siddiqui - Software Engineer Industrial Robotics at Krones