omar saifi

I’m a State Engineer in Computer Science student specializing in Data Science, driven by a passion for turning complex datasets into actionable insights. I build from a strong engineering foundation in logical modeling, algorithms, and statistical analysis.

In my projects, I’ve built end-to-end machine learning pipelines for real-world detection tasks, including an IoT Intrusion Detection System using the BoT-IoT dataset to classify network attacks (DDoS, DoS, Theft). I handled severe class imbalance with SMOTE, validated with Stratified K-fold cross-validation, trained Gaussian/Complement Naive Bayes models, and deployed real-time predictions through a Streamlit dashboard.

I also develop AI applications with Retrieval-Augmented Generation: I built a RAG pipeline connecting relational databases with modern LLM workflows using LangChain and ChromaDB vector database for embedding and semantic search orchestration. Beyond ML/AI, I create interactive dashboards with Apache Superset and Plotly and develop cross-platform apps with Flutter and Firebase, while strengthening my collaboration and leadership through Algerian Scouts.