Saheed Kazeem

Background

About Saheed Kazeem

Saheed is a dedicated software engineer and machine learning researcher with substantial experience in both industry and academia. Holding a bachelor's degree in computer engineering and a postgraduate research degree focused on machine learning and cybersecurity, he graduated in the top 5% of his class with a GPA of 4.6 out of 5.0, earning an award of excellence.In the last two years, he has worked as a full-time research scientist, delving into the intersection of artificial intelligence and network security. He has developed several cutting-edge machine-learning algorithms to detect advanced cyberattacks in large-scale networks. His research encompasses reinforcement learning, graph neural networks, and multi-agent-based intrusion detection systems, with findings presented at top conferences such as Big Data and SDN-NFV.Previously, he served as a data scientist at a precision engineering company where he utilized advanced analytics and big data techniques to uncover patterns and insights from unstructured and structured machine-generated data, employing tools like PowerBI, Scikit-Learn, Pandas, and Numpy.In addition, Saheed has spent some years developing full-stack applications as a freelancer. He is proficient in tech stacks such as React JS, Node JS, Java, MongoDB, SQL, HTML, CSS, and Bootstrap.Saheed's diverse expertise, commitment to excellence, and passion for innovation make him a valuable asset to any forward-thinking organization