AI Solution Development: Designed and presented an intelligent proposal creation system using RAG (Retrieval-Augmented Generation) that retrieves relevant content and generates contextual responses based on user queries, streamlining proposal development processes.
Proposal Management & Design: Led end-to-end proposal creation including visual design, formatting, quality assurance, and stakeholder coordination to deliver professional client presentations and documents.
Data Governance Implementation: Developed data classification frameworks and sharing policies for a Saudi governmental entity in compliance with SADAIA regulations, while configuring Open Metadata tool from system setup to client delivery in the future.
Business Intelligence & Analytics: Created comprehensive dashboards using Power BI to provide stakeholders with real-time data visualization and actionable insights for informed decision-making.
AI ENGINEER INTERN
Globitel
07.2024 - 09.2024
Arabic Text Analytics & Topic Modeling: Implemented Latent Dirichlet Allocation (LDA) for clustering Arabic text datasets, including comprehensive preprocessing (stopword removal, text filtering) and interactive visualizations to deliver actionable insights from unstructured Arabic content.
API Development & Deployment: Built and deployed a Flask-based REST API in Python that processes Arabic text inputs and returns cluster predictions using custom topic modeling algorithms, with extensive testing via Postman to ensure robust performance and accuracy.
Automated Data Collection & Web Scraping: Engineered web scraping solutions using Selenium and BeautifulSoup to extract researcher profiles and publication data from Google Scholar, enabling large-scale academic data analysis and research intelligence.
Machine Learning Integration: Developed facial classification models and integrated them with Label Studio's ML backend to automate annotation workflows, significantly improving labeling efficiency and classification accuracy.
Computer Vision & Object Tracking: Developing an advanced object tracking system combining YOLOv8 detection with ByteTrack algorithms to generate precise tracking trails for real-time object monitoring in dynamic environments.
AI INTERN
Samsung
02.2024 - 04.2024
Computer Vision Data Annotation: Performed high-precision image annotation using CVAT for computer vision tasks, ensuring consistent labeling quality to optimize model training performance and accuracy.
Data Preprocessing & Quality Assurance: Developed automated scripts to detect and eliminate duplicate images from datasets, streamlining preprocessing workflows and enhancing data quality for machine learning model development.