Ahmed BARGADY
Experienced AI Engineer & PhD Researcher
Graduated Data Scientist & AI Engineer with extensive experience building, scaling, and deploying end-to-end AI systems, LLM/Agentic architectures, and deep learning models. Currently pursuing a PhD at UM6P focusing on Graph Neural Networks (GNNs) and Provenance Graph APT Detection.
Graduated AI Engineer & Doctoral Researcher
As a Graduated AI Engineer, I bring industry-ready engineering expertise paired with academic rigor. My career spans building scalable Machine Learning pipelines, fine-tuning state-of-the-art models, and pioneering next-generation security intelligence through graph representation learning.
Graduated AI & Data Science Engineer
Formal degree background in Computer Science, Data Science, and Artificial Intelligence. Hands-on experience in full-stack AI development, model training, optimization, and production API deployment.
PhD Research in AI & Cybersecurity (UM6P)
Researching Advanced Persistent Threat (APT) detection using Graph Neural Networks (GNNs) and system log provenance graph analysis at Mohammed VI Polytechnic University.
Full-Lifecycle Production AI Systems
Building end-to-end AI applications, Agentic GraphRAG platforms, Model Context Protocol (MCP) servers, real-time FastAPI SSE streaming backends, and fine-tuned LLM pipelines.
First-Principles Theory & Open Source
Combining rigorous mathematical derivations (constrained optimization, ADMM, KKT conditions, stochastic calculus) with clean, vectorized PyTorch/DGL code from scratch.
Technical Stack & Toolkit Matrix
AI & Machine Learning
Graph & Cyber Architectures
Mathematics & Optimization
Software & Backend Engineering
Academic & Professional Inquiries
Interested in collaboration, discussing GNN research, APT detection datasets, or technical feedback? Feel free to reach out.