⊛ Currently engaged in backend development for 'Digital Validator,' a software product designed for automated customer onboarding through AI-driven identity verification.⊛ Experience in Linux systems, recently spearheaded the deployment of Flask services on Linux servers with Nginx and Gunicorn, optimizing performance with worker processors.⊛ Responsible for developing data processing modules in Python, implementing optical character recognition (OCR) using Google’s Tesseract… Show more ⊛ Currently engaged in backend development for 'Digital Validator,' a software product designed for automated customer onboarding through AI-driven identity verification.⊛ Experience in Linux systems, recently spearheaded the deployment of Flask services on Linux servers with Nginx and Gunicorn, optimizing performance with worker processors.⊛ Responsible for developing data processing modules in Python, implementing optical character recognition (OCR) using Google’s Tesseract OCR and Python’s pytesseract library to extract customer information from government-issued IDs. Additionally, recently collaborated on developing modules using PaddleOCR specifically tailored for Gulf ID cards.⊛ Successfully established a Linux machine and conducted training of object detection models in Python using TensorFlow’s object detection API to validate and verify identity documents.⊛ Utilized Python's Flask web framework for the development and modification of several backend REST APIs.⊛ Executed queries in Microsoft SQL Server to extract onboarding statistics for analysis.⊛ Implemented AES-based encryption for media on application servers using Python’s PyCryptodome library.⊛ Acted as the primary point of contact for multiple projects, resolving client concerns through root cause analysis (RCA) and debugging.⊛ Provided mentorship to interns, offering guidance and support for the development of face-matching modules using Deepface and open face. Show less

⊛ Train deep learning models to find the most accurate one for ID card object detection. ⊛ Collect and preprocess data for training the ID card detection model.⊛ Analyze TensorBoard and graphs to monitor the learning curve during training. ⊛ Gain experience in handling TensorFlow Lite models, including conversion and testing on resource-constrained devices. ⊛ Train deep learning models using TensorFlow for ID card object detection. ⊛ Evaluate model… Show more ⊛ Train deep learning models to find the most accurate one for ID card object detection. ⊛ Collect and preprocess data for training the ID card detection model.⊛ Analyze TensorBoard and graphs to monitor the learning curve during training. ⊛ Gain experience in handling TensorFlow Lite models, including conversion and testing on resource-constrained devices. ⊛ Train deep learning models using TensorFlow for ID card object detection. ⊛ Evaluate model performance (mean Average Precision). ⊛ Utilize TensorBoard to monitor the learning curve and analyze training progress.⊛ Familiarity with Python programming language and its scientific libraries (e.g., NumPy, Pandas).⊛ Collaborate with the team to refine the model and integrate it into an existing system. Show less

Technical and feasibility studies including site investigationsDeveloping detailed designs using a range of computer software Undertaking complex calculationsResolving design and development problemsManaging budgets and project resources

Custodian of Two Holy Mosques King Abdullah Bin Abdul Aziz project for development of security facilities, Phase 2D & 2E (KAP2D &KAP2E), KSA