
King Khalid University · GPA 4.95 / 5.00 · 2019-2023

Nejood A. Bin Eshaq
I'm an AI Engineer focused on building end-to-end intelligent systems using RAG, OCR, LLMs, NLP, and Machine Learning, with experience integrating local LLMs for privacy-sensitive environments. My work spans the full solution lifecycle, from understanding business needs and requirements to designing, developing, and automating practical AI solutions that improve efficiency and deliver measurable value. I also use data analysis to transform complex data into clear, actionable insights.

King Khalid University · GPA 4.95 / 5.00 · 2019-2023







Independent / Freelance
Deanship of Electronic Services, King Khalid University
An AI-powered document verification solution using computer vision and OCR.
A healthcare big-data and AI project selected from more than 400 ideas.
An AI-supported application for analyzing children's drawings and identifying psychological indicators.
A RAG-based HR assistant that retrieves context-grounded answers from Saudi labor regulations and analyzes employment contracts across multiple file formats using OCR and LLMs.

Deep Learning system for analyzing parking space availability and optimizing parking lot utilization using CNN.
A bilingual Arabic-English RAG assistant that answers questions about my professional profile using multilingual embeddings, vector retrieval, and grounded LLM generation.

A RAG-powered Islamic jurisprudence assistant that retrieves grounded answers from a trusted fiqh encyclopedia, cites the supporting evidence and sources, and directs personal cases to qualified specialists when needed.

A mobile document-verification system for truck drivers. Musir uses computer vision and OCR to extract document information, support identity validation, and reduce manual verification steps.

A web platform for discovering and registering for scholarly lessons at the Two Holy Mosques, with clear schedules, locations, and real-time translation support for a more accessible learning experience.

Computer vision system for analyzing children's drawings and detecting emotions such as happiness, sadness, and anger using YOLO.