Hello! I’m Rayen Dhahri, a Machine Learning Research Engineer with expertise in Efficient Learning, Computer Vision, and Natural Language Processing (NLP). I thrive on solving complex challenges in AI and have extensive experience in both research and industrial projects.
With a strong academic foundation from the Technical University of Munich (TUM) and my visiting opportunities at EPFL and ETH Zurich, I have had the privilege of working with leading organizations such as Intel, Huawei, CARIAD, and BMW. I am currently working as a Machine Learning Research Engineer at the Corporate Research Team of Zeiss, doing what I love doing most (Applied Research). My work spans deploying cutting-edge ML models on constrained devices, optimizing neural networks, and publishing impactful research at top conferences like NeurIPS.
Recent Highlights
- 📌 Published at NeurIPS 2024: Shaving Weights with Occam’s Razor: Bayesian Sparsification for Neural Networks.
- 🚀 Achieved state-of-the-art performance for instance segmentation with my colleague at CARIAD.
- 💡 Optimized and deployed neural networks for edge devices during my work at Intel, Huawei. BMW. Infineon Technologies. .
Get in Touch
I’m always excited to collaborate on innovative AI solutions or discuss groundbreaking research. Feel free to reach out!
- 📧 Email: rayendhahri@gmail.com
- 💻 GitHub: Heatdh
- 🔗 LinkedIn: Rayen Dhahri