I am an AI Engineer and Senior Data Scientist with five years of professional experience spanning artificial intelligence, data science, and software engineering. I specialize in building production-grade AI systems, with particular focus on large language models, retrieval-augmented generation, natural language processing, and real-time speech AI.
I build and deploy LLM agents, RAG applications, speech diarization systems, database agents, and multimodal AI solutions. My work combines strong machine learning foundations with backend engineering skills using Python, FastAPI, Flask, Django, REST APIs, WebSockets, and graph databases.
I have hands-on experience with PyTorch, TensorFlow, Hugging Face, LangChain, vLLM, ChromaDB, Neo4j, Docker, AWS, and MLOps practices. I am comfortable taking AI products from experimentation and model evaluation through deployment, optimization, monitoring, and integration with business systems.
I have worked as an AI Engineer, Data Scientist, AI Instructor, and Flutter Software Engineer. I enjoy mentoring learners in AI, machine learning, deep learning, cloud services, and end-to-end model deployment while delivering measurable business improvements through applied AI.
I am also a published researcher, Kaggle Bronze Medalist, open-source developer, and technical writer. My research and projects cover Arabic AI, computer vision, LLM evaluation, transformer architectures, speech-to-sign-language systems, and efficient inference for local language models.
