Ramdhan Ziane

Conducting research in machine learning for security, specifically tackling Advanced Persistent Threat detection using Graph Neural Networks with federated learning. This work involves a comprehensive review of the literature and is part of a master's thesis.

Participated in a research project at the university, contributing to a preprint publication. Proposed a novel approach to tackle the community detection problem by integrating a preprocessing phase into random walk strategies for Personalized Page Rank on graphs.

Participated in a training program designed to prepare students for internships by providing experience in designing and building products. The program focuses on problem-solving, data structures, and system design with weekly contests and extensive Python programming.

Contributed to the technical department, supporting initiatives related to artificial intelligence education and projects. Involved in various technical aspects of the organization.

Built a dataset of Algerian districts from various sources, including Sentinel-2 satellite data, Global Human Settlement layer datasets, and Google Open Buildings, focusing on urbanization levels. Generated classifications to aid in further planning for antenna planting.

Built an ETL on AWS Lambda service with BS4 for daily collection, insertion, and processing of data from various websites to the platform. Fine-tuned LLMs (proprietary and open-source) for creating tender objects from images and web pages, and experimented with multiple OCR tools on GCP and Azure.

Contributed to internal projects as part of the management department and later the development department. Engaged in various activities supporting the GDG community.

Currently pursuing a Master of Science in Computer Science with a Data Science Major. Focused on Machine Learning, Data Analysis, Probabilities, NLP, Optimization, Computer Architecture, Image Processing, Data Structures, and High Performance Computing.

Completed secondary education with a focus on Mathematics. Gained foundational knowledge in various mathematical concepts and problem-solving techniques.