- 🔭 Currently working on agentic AI systems, multimodal pipelines, and physics-informed ML for PDE solving.
- 🎓 M.Sc. candidate at Cairo University — researching deep generative models and neural operators for scientific computing.
- 🚀 Passionate about production ML systems, scientific machine learning, and bridging research and deployment.
- 🤝 Looking to collaborate on open-source ML tools, neural operators, and physics-informed deep learning.
- 💬 Ask me about Computer Vision, LLMs, ML Deployment, PINNs, and multi-GPU inference.
- 🌐 Visit my Personal Website
- 📷 Computer Vision & 3D Perception — object detection, tracking, segmentation, video understanding, LiDAR point cloud processing.
- 🧠 LLMs & Generative AI — LLM pipelines, agentic workflows, RAG systems, structured output, multimodal retrieval.
- 🎙️ Speech & Audio ML — speech recognition, audio processing, and production-grade transcription pipelines.
- 🎥 Multimodal AI — vision-language models, multimodal search and retrieval, scene understanding.
- 📐 Scientific ML & PINNs — physics-informed neural networks, neural PDE solvers, operator learning, forward and inverse problems.
- ⚙️ ML Serving & Infrastructure — multi-GPU inference, Ray Serve, vLLM, model optimization for edge and cloud (quantization, pruning, TensorRT, OpenVINO), scalable ML pipelines on GCP.
- 🤖 Robotics & Autonomous Perception — visual perception systems, AUV and drone-related AI modules.
- 🌌 Physics & Scientific Modeling — differential equations, dynamics, simulation, and data-driven surrogates
- 🚁 Robotics & Drones — autonomy, control, navigation, and AI perception
- 🔬 Deep Learning Theory — attention mechanisms, generative models, self-supervised learning, model design, generalization, and optimization theory