
Mohamed Ahmed
@mohamedahmed34
I build and deploy generative AI, RAG, computer vision, and automation applications.
What I'm looking for
I've built and deployed end-to-end AI applications across computer vision, NLP, generative AI, and automation through independent data science projects.
I developed a real-time wheat head detection application with YOLOv8, OpenCV, and Streamlit, optimizing inference latency to under 120ms per image.
I built medical Agentic RAG and production GraphRAG systems using LangChain, LangGraph, CrewAI, FAISS, Neo4j, Hugging Face, and OpenRouter. These applications support document ingestion, grounded answers, citations, retrieval workflows, and knowledge graph visualization.
I've fine-tuned LLMs with LoRA and DPO, deployed model-serving APIs with Flask and FastAPI, containerized applications with Docker, and deployed them to Azure. I'm especially interested in applying AI and automation to cybersecurity and enterprise technology challenges.
Experience
Work history, roles, and key accomplishments
Independent Data Science Projects
Self Employed
Sep 2024 - Present (2 years)
Designed, trained, and deployed multiple AI applications across computer vision, NLP, and generative AI. Built end-to-end AI pipelines including data preprocessing, training, evaluation, and inference.
Education
Degrees, certifications, and relevant coursework
AlShorouk Academy
Bachelor of Computer Science, Computer Science
Bachelor of Computer Science degree from AlShorouk Academy, completed in August 2024. Graduation project involved developing an AI-powered educational question generation system using LLaMA2-7B Chat, prompt engineering, llama-cpp, and Flask.
Epsilon AI Academy
Certified Data Science Diploma, Data Science
Certified Data Science Diploma from Epsilon AI Academy, a one-year program covering machine learning, statistics, SQL, linear algebra, data cleaning, and data preprocessing.
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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