Mohab G.

I'm an AI Engineer and NLP Developer with a strong focus on building intelligent systems using cutting-edge technologies in Natural Language Processing, Generative AI, and Full Stack Development. My expertise includes working with LLMs, embedding models (like OpenAI embeddings, BERT, S-BERT), and clustering algorithms (such as BERT-Topic) to extract insights and build semantic understanding into applications. I specialize in topic modeling, dimensionality reduction, and adaptive clustering for scalable data analysis. I have hands-on experience deploying AI solutions on GPU-based infrastructure using RunPod and building state-driven conversational agents using LangGraph, FastAPI, and WebSocket for real-time interactions. I frequently use tools like Gradio to create intuitive user interfaces for AI-powered applications. On the development side, I work with modern web stacks, including ReactJS, NextJS, NodeJS, and MongoDB, and have implemented semantic search systems using vector databases and sentence transformers. I'm also well-versed in machine learning, deep learning, and data visualization using Python libraries such as Pandas, NumPy, scikit-learn, TensorFlow, Keras, Matplotlib, and Seaborn. With a solid foundation in data structures, algorithms, and multiple programming languages (Python, JavaScript, Java, C++, Kotlin), I bring both depth and flexibility to AI-driven problem solving.