Hussam Rabaa

Skills

Python, FastAPI, MLOps, Machine Learning, ML Model Deployment, Docker, Docker Compose, PyTorch, Hugging Face, NLP, Transformers, RAG, Retrieval-Augmented Generation, Vector Search, Qdrant, Weaviate, LangChain, spaCy, REST APIs, pytest, Automated Testing, Model Evaluation, Git, GitHub, Object-Oriented Programming, OOP, C#, ASP.NET MVC, Entity Framework, SQL Server, SQL, Java, Node.js, Express.js, MongoDB, Knowledge Graphs, Neo4j, Cypher, RDF, SPARQL, Pandas, NumPy, Data Engineering, ETL, Software Engineering, System Design, Debugging, Troubleshooting

About

Software Engineer and Applied AI & Machine Learning Engineer with hands-on experience in Python, FastAPI, Docker, PyTorch, Hugging Face, RAG, NLP, vector databases, REST APIs, and automated testing. Experienced in building, evaluating, containerizing, and deploying production-oriented AI systems. Led the development of MedDx Assistant, integrating FastAPI, Qdrant, transformer models, RAG pipelines, and Docker, with 68 automated tests and structured retrieval evaluation using Recall@k and MRR. Also experienced in C#, ASP.NET MVC, SQL Server, full-stack development, debugging, and enterprise software development. Interested in Python engineering, MLOps, scalable ML systems, cloud-native deployment, and production AI.