SALEH ABED ALNABI

Ai Engineer with good knowledge of Python and data analysis. Strong in problem-solving and working with data to find useful insights. I have good knowledge in in machine learning and always learning new skills.I possess excellent knowledge of building and working with AI agents from scratch.

• Mind Compass - Early Alzheimer's Detection & Memory Stimulation, Building multiple models to detect Alzheimer's and developing artificial intelligence games to help stimulate the patient's memory.
• CO2 Emissions Regression & Loan Approval Classification, Performed data preprocessing and exploratory analysis on the CO2 Emissions dataset, applying outlier handling, duplicate removal, feature correlation analysis, and multiple linear regression with forward feature selection. Built and evaluated multiple classification models (Naive Bayes, Logistic Regression, SVM, Decision Tree, Random Forest) to predict loan approval status, achieving high accuracy through cross-validation and ensemble learning.
• ATLAS — AI Historical Research Platform
  Built a bilingual full-stack platform that uses AI and live web research to generate sourced, chronological historical narratives. Integrated verified event coordinates, an interactive MapLibre globe, relevant archival images, cinematic timelines, JWT authentication, and Arabic/English localization.

     Stack: FastAPI, Python, PydanticAI, Gemini, Tavily, JavaScript, MapLibre GL JS, Wikipedia/Wikidata APIs, SQLite,

     JWT

• Compass — AI Business Data Assistant
  Developed a full-stack AI-powered business analytics assistant using FastAPI, Pydantic AI, SQLite, and vanilla JavaScript. Implemented email-based JWT authentication, user-specific long-term memory, controlled natural-language database querying, Markdown rendering, and structured XML chart responses rendered directly in the chat using Chart.js.