About
Senior AI Engineer and Product Builder with 7+ years of hands-on experience in computer vision, generative AI, and deep learning, bridging cutting-edge research with real-world product delivery. Proven track record of designing and shipping full-scale AI systems across healthcare, geospatial analytics, and religious-tech, including the solo-built AIFatwa platform which processed over 10,000 queries in its first week. As a Top-Rated Plus Upwork freelancer with $50K+ revenue, I bring an entrepreneurial mindset, technical leadership, and a commitment to delivering innovative, scalable AI solutions.
Work
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Summary
Built and deployed cutting-edge AI models for medical image analysis and diagnostics, contributing to the MVP development of a healthtech platform.
Highlights
Built and deployed deep learning models for precise medical image segmentation (lung cancer, brain tumors, abdominal organs), providing critical support for diagnostics.
Developed and optimized chest X-ray disease classification models, significantly enhancing diagnostic accuracy and efficiency for healthcare professionals.
Deployed AI models as robust APIs with LitServe, ensuring seamless front-end integration and real-time inference for clinical applications.
Designed and implemented an LLM-powered system to suggest personalized treatments based on comprehensive disease detection and patient assessments.
Trained and fine-tuned large-scale models using Azure ML and AWS SageMaker, optimizing performance and scalability for diverse medical datasets.
Utilized AWS S3 for comprehensive data and model versioning, ensuring integrity, collaboration, and auditability throughout the AI development lifecycle.
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Summary
Led over 117 freelance computer vision and AI projects, driving client success and delivering high-impact AI solutions across diverse industries as a Top-Rated Plus freelancer.
Highlights
Completed over 117 projects, accumulating 858+ hours and generating $50,000+ in verified revenue for diverse international clients.
Developed and deployed bespoke computer vision solutions for clients in geospatial analysis, medical imaging, and document intelligence, ensuring high-quality results and client satisfaction.
Demonstrated advanced expertise in Python, OpenCV, TensorFlow, and PyTorch to deliver innovative, production-ready AI applications within tight deadlines.
Consistently achieved high client satisfaction ratings, earning and maintaining Top-Rated Plus freelancer status through exceptional project management and value delivery.
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Summary
Designed and deployed advanced deep learning models for geospatial analysis, enhancing satellite imagery interpretation and operational efficiency for critical infrastructure.
Highlights
Developed and optimized deep learning models for object detection and segmentation (trees, pools, cars, waste) from satellite imagery, significantly improving geospatial analysis efficiency.
Implemented robust object tracking algorithms (centroid tracking, BYTE-SORT) and distance estimation techniques, enhancing precision for large-scale aerial data analysis.
Curated a large-scale dataset of millions of images using open-source resources, augmentation, and human-in-the-loop annotation, ensuring high-quality data for model training.
Deployed trained models as scalable API endpoints on GCP and AWS SageMaker, enabling real-time data processing and seamless integration with client systems.
Managed and secured extensive datasets and models on AWS S3, implementing version control and ensuring data integrity for critical infrastructure projects.
Languages
English
Fluent
Arabic
Native
Skills
Programming Languages
Python, JavaScript, Dart, TypeScript, HTML5, CSS.
AI/ML Frameworks & Libraries
PyTorch, TensorFlow, TensorFlow Lite, OpenCV, Hugging Face, LangChain, OpenAI API, Retrieval-Augmented Generation (RAG).
Cloud Platforms & MLOps
AWS SageMaker, Google Cloud Platform (GCP), AWS S3, Azure ML, FastAPI, LitServe, Vector Databases, Full-Stack AI Deployment.
Tools & Development
Git, GitHub, Bitbucket, Jira, VS Code, Aider, Next.js, Flutter, Selenium.
Domain Expertise
Computer Vision, Deep Learning, Generative AI, Geospatial Analytics, Medical Imaging, Document Intelligence, Object Detection, Image Segmentation, Object Tracking, Image Preprocessing, Large Language Models (LLMs).
