Ebrahim Al-wajih

Lead the IT function for a premier academic school, driving digital transformation, infrastructure upgrades, enterprise system deployments, and team restructuring. Manage strategic planning, service delivery, and technology innovation to enhance academic operations and organizational efficiency. Key Achievements: • Reorganized the IT division into specialized teams (Technical Support, System Administration, Infrastructure, Operations) ➤ Improved role clarity, strengthened accountability, and accelerated service resolution. • Directed full implementation of the institution’s ERP system, including infrastructure preparation and staff training ➤ Enhanced operational workflows and delivered integrated financial, HR, and academic processes, on time and within budget. • Applied Large Language Models (LLMs) within N8N to automate critical workflows, including CV evaluations against job descriptions, supplier invoice extraction using OCR, and automated link shortening via Bitly integration ➤ Enhanced operational efficiency and reduced manual processing time across HR, finance, and IT request handling. • leveraged the LLM node in N8N to automate meeting scheduling and guest invitations via Google Calendar ➤ Enabled seamless coordination of events with minimal user input, improving calendar management. • Integrated WhatsApp Business with ERP, live chat flows, and e-services; collaborated with providers to extend functionality ➤ Enabled real-time support, increased engagement, and simplified digital access for parents and staff. • Deployed SADAD and integrated it within WhatsApp Business for secure, real-time school fee payments ➤ Streamlined billing operations and reduced manual processing. • Implemented WAKI to digitize cafeteria operations and empower parental spending oversight ➤ Eliminated cash handling and improved financial transparency. • Replaced outdated PBX systems with IP telephony infrastructure ➤ Reduced operational costs and improved communication scalability.

Managed infrastructure, server environments, access controls, and user support systems for the institution. Focused on system stability, identity integration, and secure service delivery across educational and operational departments. Key Achievements: • Server & Domain Administration: Managed Linux and Windows Server environments, Active Directory, and DNS configurations. ➤ Ensured reliable system performance, high availability, and secure access across all campuses. • Group Policy Management: Designed and enforced GPOs for drive mapping, software restrictions, user access, and device policies. ➤ Strengthened endpoint security and standardized system behavior across departments. • Secure Wireless Access Deployment: Implemented RADIUS authentication with UniFi integration for enterprise-grade WLAN access. ➤Centralized wireless access control and improved network security for staff and students. • Proxy Server & SSL Management: Configured a proxy server and managed SSL certificates (self-signed and Cloudflare) for secure communications. ➤ Enforced safe browsing policies and protected sensitive data during transmission. • Helpdesk & User Support Automation: Administered osTicket and introduced password self-service systems. ➤ Reduced support workload, improved issue tracking, and empowered end users. • Directory Automation: Utilized PowerShell scripting to manage user and group lifecycles in Active Directory. ➤ Increased administrative efficiency and eliminated manual errors in account operations.

Provided hands-on technical support and contributed to infrastructure maintenance and user service delivery. Key Achievements: • Installed and configured computer hardware, operating systems, and core software applications • Supported Active Directory and GPOs for access control and consistent user environment • Delivered first-line support to staff and students across academic departments • Managed SMS communication platforms including SAMA SMS, Unifonic, and JAWAL B SMS.

Managed the deployment and operation of the school’s digital learning environment. Key Achievements: • Installed and configured MOODLE LMS on IIS servers • Administered user access and resolved platform issues to support continuous academic use • Processed and cleansed academic datasets using MATLAB and Excel for accurate reporting and analysis.

- Proposed novel deep learning algorithms for bilingual handwritten digit recognition called Threshold Center-Symmetric Local Binary Convolutional Neural Networks (TCS-LBCNN). o Enhancing the performance of the Local Binary Convolutional Neural Networks (LBCNN) in terms of accuracy. o Tuning the hyperparameters of the models to acquire better performance. - Proposed enhanced models using the sliding windows approach. o The approach was applied to several feature extraction techniques, including Mean-based, Gray-Level Co-occurrence Matrix (GLCM), Moment-based, Edge Direction Histogram (EDH), LBP, CS-LBP, CS-LTP, CS-LMP, and U2LBP. o Support vector machine (SVM) and random forests were used as classifiers.

ML Researcher (Master Thesis) : - Proposed novel methods for recognizing gender based on image-face using statistical features that can represent the face landmarks. These features are GIST, pyramid histogram of oriented gradients, GIST based on discrete cosine transform, and principal component analysis. - Suggested an extension of feature extraction technique based on statistical aggregation and Gabor filters. - Applying several machine learning algorithms to evaluate the proposed features, including MLP, SVM, K*, Rotation Forest, DECORATE, Logistic Model Tree, and k-NN classifiers. - Tuning the parameters of the used classifiers to obtain better performance.

- Taught the following courses at Society Development & Continuing Education Center: Oracle8i, C/C++, SQL server, VS.net, and ASP.net.

-Taught Parallel Programming course at Computer Science & Engineering Faculty

-Taught the following courses: Web Programming (Asp.Net), Database Fundamentals, and Software Engineering Fundamentals.

Focused on ML applications and Research for Gender Recognition Thesis title: “Face-based Gender Recognition”