Muhammadzahid Pathan

Dear Team,

My name is Muhammadzahid Pathan, originally from India and currently based in Germany. I hold a Master's degree in Computational Mechanics from the Technical University of Munich, where I developed a strong foundation in AI and machine learning.

Professionally, I’ve gained hands-on experience developing predictive models, automating workflows, and building scalable MLOps pipelines. My work with Python, PyTorch, scikit-learn, and MLflow has helped streamline AI development, and roles at BMW Group and Atlas Copco allowed me to contribute to impactful, data-driven projects in cross-functional environments. These experiences have strengthened both my technical capabilities and my ability to collaborate effectively in team-based settings.

I’m currently exploring full-time opportunities to grow as an AI Engineer, Data Scientist, or Solution Architect, and would be grateful if you could consider my profile for any relevant openings.

Thank you for your time and consideration. I look forward to the possibility of contributing to your team.

Warm regards,
Muhammadzahid Pathan

I’m an AI Engineer with a strong foundation in computational mechanics, machine learning, and software development. I hold a Master's degree from the Technical University of Munich and a Bachelor's from IIT Dharwad, where I was awarded the silver medal for academic excellence.

My experience spans AI-driven crash prediction at BMW, GenAI-based automation systems, and computer vision solutions during my time at Atlas Copco Extend3D. I've built time-series models, LLM-powered RAG systems, and scalable MLOps pipelines. My technical toolkit includes Python, PyTorch, MLflow, TensorFlow, C++, Docker, Azure, and CUDA, alongside a solid understanding of simulation tools and engineering workflows.

I’m now looking to apply these skills in full-time roles such as AI Engineer, Data Scientist, or Solution Architect, where I can contribute to cutting-edge innovation and continue growing in a collaborative and impact-driven environment.

At BMW Group, I received extensive hands-on training in AI integration, MLOps, and data pipeline development. As an AI Engineer, I was trained in developing time-series regression models (CNN encoder-decoder) to predict crash test outcomes, which included exposure to PyTorch, scikit-learn, MLflow, and TensorRT for performance optimization.

In another role, I focused on building Generative AI-based RAG pipelines using LLMs, integrated Python APIs, and automated workflows. I also gained experience in Azure ML, Docker, and software architecture for scalable AI solutions. These roles enhanced my understanding of deploying AI in real-world automotive applications, emphasizing model efficiency, explainability, and cross-functional collaboration.