Technical Product Leader & AI Systems Engineer

Medical centers struggled with fragmented patient records, slow billing workflows, and lack of automated error checking in diagnosis logging.

• • Developed a clinic management dashboard for doctor consultations, patient queues, and billing workflows.
• • Integrated Supabase backend for real-time synchronization of clinic databases and media attachments.
• • Built a Python-based background service for formatting and auditing medical logs using LLM utilities.

Real estate companies and brokers needed an integrated platform to create immersive virtual tours and deploy AI voice agents for customer service and lead qualification.

• • Developed 'Shouf Aqar', a specialized platform for real estate brokers to easily build and manage interactive virtual tours.
• • Built an integrated sub-platform dedicated to generating and deploying AI Voice Agents tailored for real estate customer interactions and inquiries.

Internet users faced cluttered layouts and heavy video loading times due to aggressive advertisements, trackers, and YouTube popups.

• • Engineered a lightweight Chrome Extension utilizing Declarative Net Request API for high-speed network request filtering.
• • Designed custom regex rule engines to block banner, sidebar, and pre-roll video ads on YouTube.
• • Built an intuitive popup dashboard for users to toggle blocking states and check live blocked ad metrics.

Recruiters and job applicants faced communication gaps and lack of progress transparency during multi-stage hiring processes.

• • Designed a kanban-style dashboard to track candidates from application to onboarding phases.
• • Implemented automated email alerts and database triggers using cloud functions upon stage updates.

Technical support teams spent significant time answering repetitive configuration and software setup queries.

• • Deployed self-hosted n8n instance using Docker containers on a private Linux VPS.
• • Created workflow automations linking live chat webhooks, vector knowledge bases, and LLM text generation.

Radiologists needed secondary software utilities to verify anomaly detections in X-ray and CT scan imagery.

• • Built a CNN model trained on segmented lung/chest X-ray datasets for anomaly classification.
• • Developed a clean web UI in Streamlit allowing medical staff to drag-and-drop scans and view localized heatmap alerts.

Users found manual calorie counting and meal planning tedious and wanted personalized, flexible dietary recommendations.

• • Developed mobile app UI in Flutter for logging daily activities and dietary preferences.
• • Configured a backend API in FastAPI using prompts to generate dynamic meal plans tailored to health goals.

Small business merchants needed a fast, offline-first mobile app to manage store billing, register inventory, and instantly generate PDFs with QR codes and barcodes.

• • Developed cross-platform mobile app in Flutter, optimizing rendering performance using clean state management.
• • Configured local SQLite database with automatic backups and schema migrations for offline transaction processing.
• • Integrated hardware-accelerated camera module for fast barcode scan detection and inventory mapping.

Tech professionals and financial specialists lacked comprehensive, practical field guides bridging forward deployment engineering practices with real-world enterprise accounting workflows.

• • Authored 'UNIVERSAL ACCOUNTING SYSTEMS PLAYBOOK' (دليل المحاسب الشامل) detailing transactional rules and ledger architecture designs.
• • Authored 'Forward Deployed Engineer' (مهندس النشر الميداني) mapping direct field integration pipelines, client communications, and on-premise system deployments.
• • Both books are officially released and available in English and Arabic editions.

Users editing content on web browsers needed an instant, privacy-conscious way to review and correct Arabic/English syntax and style without copying text into third-party websites.

• • Developed web extension mapping selected text and sending to LLM APIs with optimized, structured grammar prompts.
• • Engineered real-time text overlay updates to display visual diffs and corrections within active page input forms.

Required a localized predictive model to classify structured input tables without relying on external cloud APIs.

• • Cleaned and prepared structured data tables using Pandas and NumPy.
• • Trained and tuned a classification algorithm using Scikit-Learn to predict targets based on input features.

Users needed a simplified interface to track health habits, record symptoms, and receive daily wellness tips.

• • Developed cross-platform mobile UI in Flutter for logging wellness parameters.
• • Connected the client app to a lightweight Python API for custom tip suggestions.

Educational centers struggled with manual paper-based registration, leading to enrollment delays and lost student files.

• • Built a database schema in MySQL to store student records, courses, and payment statuses.
• • Developed a front-end portal in Bootstrap for online student registration and file uploads.

School partners and affiliates required a centralized application to track student enrollments, course feedback, and system status.

• • Engineered RESTful APIs to sync partner licensing data and enrollment logs.
• • Built an administration dashboard for partners to review performance metrics.

Educational centers lacked structured practical curricula to train students on foundational data analysis and AI concepts.

• • Designed a hands-on curriculum covering Python, Pandas, data cleaning, and basic ML algorithms.
• • Conducted interactive lab sessions using Jupyter Notebooks to teach real-world data processing.

A government ministry director required private, high-level training to understand Power BI dashboard metrics and data-driven decision making.

• • Created custom datasets matching public sector KPI structures.
• • Delivered 1-on-1 private coaching sessions explaining data modeling, security, and dashboard navigation.

Internal teams needed a unified application to review, test, and evaluate various banking and accounting systems produced by Ebda3soft.

• • Built a central web portal for logging review results and software testing logs.
• • Integrated database hooks to aggregate system statistics and error records.

Local restaurants needed a direct, cost-effective mobile app to receive food orders and coordinate delivery drivers.

• • Developed Flutter UI for customer cart management and order tracking.
• • Integrated Google Maps API for driver routing and location mapping.

Library managers needed a tool to parse book summaries, perform tokenization, and auto-classify genres based on keyword patterns.

• • Engineered text preprocessing scripts using NLTK for tokenization, stop-word removal, and stemming.
• • Developed a basic Flask web interface for text input and classification output.

New data science learners faced installation errors and dependency conflicts when setting up Python environments for AI projects.

• • Documented and configured clean Conda environment blueprints containing all required ML/Data libraries.
• • Created basic Docker configurations for portable, consistent Jupyter notebook runtimes.

Students lacked practical, hands-on understanding of network addressing, routing, and basic IT troubleshooting.

• • Designed training labs using Cisco Packet Tracer to simulate local network architectures.
• • Delivered lectures and practical exercises on IP subnetting, switches, routers, and basic network diagnostics.

Professionals needed structured training to transform raw Excel data tables into automated, visual business intelligence dashboards.

• • Created mock corporate datasets to teach data cleaning, star schema modeling, and DAX calculations.
• • Conducted dashboard design workshops focused on reporting clarity, filters, and sharing permissions.