I build production-oriented AI systems — from data preparation and model development to APIs and deployment.
Email · LinkedIn · BrightGaza · Kaggle
Data Scientist and AI Engineer focused on building practical, end-to-end intelligent systems.
My work combines machine learning, natural language processing, retrieval-augmented generation, and backend engineering to turn models into usable products.
Currently interested in:
- Machine Learning systems
- NLP and semantic search
- LLM and RAG applications
- AI agents and multi-agent workflows
- FastAPI-based AI services
- Model deployment and production AI
Languages & Data
Python SQL Pandas NumPy PostgreSQL
Machine Learning
Scikit-learn XGBoost Feature Engineering Model Evaluation
NLP & Generative AI
LLMs RAG Embeddings Semantic Search AI Agents
Backend & Engineering
FastAPI REST APIs Docker Git GitHub
Machine learning platform for predicting students at academic risk using behavioral and academic indicators.
Machine Learning FastAPI React PostgreSQL
Multi-agent RAG assistant for retrieving and answering questions from unstructured recipe documents.
LLMs RAG Embeddings Semantic Search
NLP classification pipeline for detecting misinformation in Palestinian news content.
NLP TF-IDF Scikit-learn
Machine learning system for classifying emails as spam or legitimate.
Machine Learning NLP TF-IDF
Open to remote opportunities in Data Science and Artificial Intelligence, with a focus on Machine Learning, LLM applications, RAG systems, AI Agents, data analysis, visualization, and decision-ready reporting.
Contact: faresalnam@gmail.com