Mahmoud Ayman Abdelmohsen
AI and machine learning engineer with experience in computer vision, NLP, LLMs, agentic AI, and full-stack AI applications, using Python, PyTorch, TensorFlow, FastAPI, Hugging Face, OpenCV, and modern AI frameworks.
AI and machine learning engineer with experience in computer vision, NLP, LLMs, agentic AI, and full-stack AI applications, using Python, PyTorch, TensorFlow, FastAPI, Hugging Face, OpenCV, and modern AI frameworks.
AI and Machine Learning Engineer with hands-on experience in Computer Vision, NLP, LLMs, Agentic AI, and full-stack AI applications.
Built multi-agent systems with Google ADK, LiteLLM, FastAPI, Redis, MCP servers, and Langfuse.
Builds and optimizes computer vision, real-time analytics, automation, and AI model integrations.
Delivered freelance web development and machine learning projects for clients.
Worked with a remote team on web and AI solutions for international clients.
Worked on sentiment analysis, question answering, resume screening, and API integration.
AI-powered driver identity verification and smart road safety system using YOLOv5, InsightFace, OCR, FastAPI, MongoDB, and Raspberry Pi.
Blood-cell diagnostic project using a custom PyTorch CNN, OpenCV, Flask, and containerized deployment.
Resume screening and job matching application using Flask, SentenceTransformers, cosine similarity, and skill extraction.
A few details are enough. We will review the opportunity before it goes live.
Send your requirement directly to the SkilGy team on WhatsApp.