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I’m an Electrical and Autonomous Systems Engineer passionate about bridging traditional power systems with intelligent automation. After several years working on high-voltage substation commissioning and protection systems, I became fascinated by how AI and robotics could transform industrial efficiency, reliability, and safety. That curiosity led me to pursue my M.Sc. in Autonomous Systems at Bonn-Rhein-Sieg University (GPA 1.3), where I now focus on applying deep learning, MLOps, and intelligent control to real-world engineering problems. At Kautex Textron, I’m developing deep learning–based 3D shape optimization pipelines, combining computer vision, 3D modeling, and high-performance computing. My research experience at the University of Bonn strengthened my understanding of scalable ML workflows for robotics and autonomous applications. My goal is to develop AI-powered, adaptive, and sustainable energy systems — where electrical engineering precision meets the creativity of intelligent automation. Key Areas of Expertise: 🔹 Machine Learning & Deep Learning (PyTorch, TensorFlow) 🔹 MLOps, FastAPI, Docker, AWS 🔹 Robotics & Autonomous Systems 🔹 Smart Energy & Electrical Power Systems 🔹 LLMs, RAG, and Intelligent Agents 🔹 3D Optimization, Computer Vision, and AI Deployment…I’m an Electrical and Autonomous Systems Engineer passionate about bridging traditional power systems with intelligent automation. After several years working on high-voltage substation commissioning and protection systems, I became fascinated by how AI and robotics could transform industrial efficiency, reliability, and safety. That curiosity led me to pursue my M.Sc. in Autonomous Systems at Bonn-Rhein-Sieg University (GPA 1.3), where I now focus on applying deep learning, MLOps, and intelligent control to real-world engineering problems. At Kautex Textron, I’m developing deep learning–based 3D shape optimization pipelines, combining computer vision, 3D modeling, and high-performance computing. My research experience at the University of Bonn strengthened my understanding of scalable ML workflows for robotics and autonomous applications. My goal is to develop AI-powered, adaptive, and sustainable energy systems — where electrical engineering precision meets the creativity of intelligent automation. Key Areas of Expertise: 🔹 Machine Learning & Deep Learning (PyTorch, TensorFlow) 🔹 MLOps, FastAPI, Docker, AWS 🔹 Robotics & Autonomous Systems 🔹 Smart Energy & Electrical Power Systems 🔹 LLMs, RAG, and Intelligent Agents 🔹 3D Optimization, Computer Vision, and AI Deployment

Mohamed Hassan

AI Engineer, Data Scientist, Full Stack Developer, +2

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I’m an Electrical and Autonomous Systems Engineer passionate about bridging traditional power systems with intelligent automation. After several years working on high-voltage substation commissioning and protection systems, I became fascinated by how AI and robotics could transform industrial efficiency, reliability, and safety. That curiosity led me to pursue my M.Sc. in Autonomous Systems at Bonn-Rhein-Sieg University (GPA 1.3), where I now focus on applying deep learning, MLOps, and intelligent control to real-world engineering problems. At Kautex Textron, I’m developing deep learning–based 3D shape optimization pipelines, combining computer vision, 3D modeling, and high-performance computing. My research experience at the University of Bonn strengthened my understanding of scalable ML workflows for robotics and autonomous applications. My goal is to develop AI-powered, adaptive, and sustainable energy systems — where electrical engineering precision meets the creativity of intelligent automation. Key Areas of Expertise: 🔹 Machine Learning & Deep Learning (PyTorch, TensorFlow) 🔹 MLOps, FastAPI, Docker, AWS 🔹 Robotics & Autonomous Systems 🔹 Smart Energy & Electrical Power Systems 🔹 LLMs, RAG, and Intelligent Agents 🔹 3D Optimization, Computer Vision, and AI Deployment…I’m an Electrical and Autonomous Systems Engineer passionate about bridging traditional power systems with intelligent automation. After several years working on high-voltage substation commissioning and protection systems, I became fascinated by how AI and robotics could transform industrial efficiency, reliability, and safety. That curiosity led me to pursue my M.Sc. in Autonomous Systems at Bonn-Rhein-Sieg University (GPA 1.3), where I now focus on applying deep learning, MLOps, and intelligent control to real-world engineering problems. At Kautex Textron, I’m developing deep learning–based 3D shape optimization pipelines, combining computer vision, 3D modeling, and high-performance computing. My research experience at the University of Bonn strengthened my understanding of scalable ML workflows for robotics and autonomous applications. My goal is to develop AI-powered, adaptive, and sustainable energy systems — where electrical engineering precision meets the creativity of intelligent automation. Key Areas of Expertise: 🔹 Machine Learning & Deep Learning (PyTorch, TensorFlow) 🔹 MLOps, FastAPI, Docker, AWS 🔹 Robotics & Autonomous Systems 🔹 Smart Energy & Electrical Power Systems 🔹 LLMs, RAG, and Intelligent Agents 🔹 3D Optimization, Computer Vision, and AI Deployment

Available to hire

I’m an Electrical and Autonomous Systems Engineer passionate about bridging traditional power systems with intelligent automation.

After several years working on high-voltage substation commissioning and protection systems, I became fascinated by how AI and robotics could transform industrial efficiency, reliability, and safety. That curiosity led me to pursue my M.Sc. in Autonomous Systems at Bonn-Rhein-Sieg University (GPA 1.3), where I now focus on applying deep learning, MLOps, and intelligent control to real-world engineering problems.

At Kautex Textron, I’m developing deep learning–based 3D shape optimization pipelines, combining computer vision, 3D modeling, and high-performance computing. My research experience at the University of Bonn strengthened my understanding of scalable ML workflows for robotics and autonomous applications.

My goal is to develop AI-powered, adaptive, and sustainable energy systems — where electrical engineering precision meets the creativity of intelligent automation.

Key Areas of Expertise:
🔹 Machine Learning & Deep Learning (PyTorch, TensorFlow)
🔹 MLOps, FastAPI, Docker, AWS
🔹 Robotics & Autonomous Systems
🔹 Smart Energy & Electrical Power Systems
🔹 LLMs, RAG, and Intelligent Agents
🔹 3D Optimization, Computer Vision, and AI Deployment