Moaz Lasheen is an Artificial Intelligence Engineer with eight years of hands-on experience building ML/DL systems across startups and consultancy projects. He co-founded Chatoura to deliver AI-driven customer support for startups and currently drives AI engineering at Superlabs AI, blending product-focused engineering with MLOps best practices. His background includes end-to-end ML work—from data scraping and automation for a COVID-19 messenger bot to productionizing models at companies like _VOIS and qeema—showing a strong bias for shipping practical, automated solutions. Trained in AI and computer science at the British University in Egypt and London South Bank University, he pairs academic grounding with entrepreneurial grit. Notably, Moaz has repeatedly moved between freelance and in-house roles, indicating adaptability and a talent for turning small-scale proofs into production-ready services.
8 years of coding experience
6 years of employment as a software developer
Computer Science, Artificial Intelligence, Computer Science, Artificial Intelligence at London South Bank University
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at The British University in Egypt
A web interface for real-time yolo inference using streamlit. It supports CPU and GPU inference, supports both images and videos and uploading your own custom models.
Contributions:19 commits, 15 pushes, 1 branch in 17 days
gpuinferencestreamlityolov5deep-learning
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