momen alhamza
Skills
Python, SQL, FastAPI, Docker, Docker Compose, Machine Learning, Deep Learning, Computer Vision (YOLOv8, EfficientNet, Grad-CAM), NLP (Transformers, BERT, NER), LLM Integration (Groq, Qwen2.5), RAG Pipelines, Vector Databases (Weaviate, FAISS), Knowledge Graphs (Neo4j), PyTorch, TensorFlow, Scikit-learn, Git, CI/CD (GitHub Actions), Data Analysis & EDA, Tableau, Looker Studio
About
Artificial Intelligence and Data Science graduate specializing in deep learning, computer vision, and NLP, with growing depth in applied AI engineering and data analytics. Hands-on experience designing and deploying end-to-end ML systems — from CNN- and transformer-based models to real-time, multimodal, and multilingual applications — and building production-style pipelines (RAG, vector databases, knowledge graphs, FastAPI + Docker). Comfortable across the full data workflow, from SQL analytics and EDA through to model training and live deployment. Passionate about building practical AI that solves real-world problems