About
I work on applied AI systems, focusing on computer vision and machine learning. My interests center around digital identity, automation, and visual intelligence.
Much of my work touches human behavior and the practical challenges of how people interact with AI systems in the real world.
My approach: Understand. Build. Iterate.
I am always interested in applied AI and high-impact projects. If you are building in this space, feel free to reach out.
Tech stack I use
Machine Learning
PyTorch, ONNX, Hugging Face, TensorFlow, Scikit-learn, MLflow, Jupyter
Computer Vision
OpenCV, Albumentations, YOLO, MediaPipe, Roboflow, Pillow
Production/APIs
Python, FastAPI, Docker, AWS, PostgreSQL
AI/Automation
LangChain, LlamaIndex, MCP, Claude, Gemini, and OpenAI APIs, Pinecone, Airflow
Featured Projects
Facial Liveness Detection
On-device facial anti-spoofing system that detects real-time presentation attacks and blocks fraud in identity verification flows.
Venture Capital RAG System
RAG system that lets investment teams search internal memos, decks, and operating playbooks using natural language and grounded citations.
Arabic Document Extraction
End-to-end Arabic OCR and data extraction pipeline for government IDs, passports, and official documents, designed for real-world capture conditions.