With a solid academic foundation in telecommunications, data science and Machine learning, and 2 years experience as both a researcher and a university teacher at Johannes Kepler University (JKU) in Algorithms and Data Structures, I have developed strong technical and management skills. During this time, I also supervised Artificial Intelligence Bachelor’s and Master’s students, supporting them in project design, experimentation, and technical problem-solving. My academic journey includes a Master’s degree in Data Science, specializing in Artificial Intelligence, and a Bachelor’s degree in Telecommunications, which have equipped me with expertise in engineering, data analysis, and artificial intelligence. These disciplines have shaped my passion for leveraging data to drive innovation and efficiency. During my time at JKU, I had the privilege of contributing to two groundbreaking AI projects: E-Brain Ensemble and Streaming AI. These projects centered on decentralized federated learning, enabling efficient and scalable AI solutions for distributed systems, where I also contributed to project coordination and leadership, including: ● Contributing to the writing and formulation of the research proposals for both projects. ● Guiding and managing the project team by assigning tasks, coordinating efforts, and supporting team members through technical challenges and key project milestones. Notable achievements include: ● Designing deep learning models that operate reliably under challenging conditions such as connectivity issues through a virtual iot network. ● Developing a decentralized federated learning system where nodes collaborate without a central server, sharing only sparse, noise-protected updates. Using smart consensus strategies, robustness is ensured under non-IID data and node dropouts, demonstrating my ability to design reliable, privacy-preserving AI systems. In addition to these projects, my experience extends to: ● Creating interactive-based AI agent-NLP models integrated into an augmented reality educational game. ● Experience with Python, SQL, NoSQL, and Big Data tools such as Hadoop and Spark, alongside hands-on expertise with frameworks like PyTorch and TensorFlow for advanced data processing…With a solid academic foundation in telecommunications, data science and Machine learning, and 2 years experience as both a researcher and a university teacher at Johannes Kepler University (JKU) in Algorithms and Data Structures, I have developed strong technical and management skills. During this time, I also supervised Artificial Intelligence Bachelor’s and Master’s students, supporting them in project design, experimentation, and technical problem-solving. My academic journey includes a Master’s degree in Data Science, specializing in Artificial Intelligence, and a Bachelor’s degree in Telecommunications, which have equipped me with expertise in engineering, data analysis, and artificial intelligence. These disciplines have shaped my passion for leveraging data to drive innovation and efficiency. During my time at JKU, I had the privilege of contributing to two groundbreaking AI projects: E-Brain Ensemble and Streaming AI. These projects centered on decentralized federated learning, enabling efficient and scalable AI solutions for distributed systems, where I also contributed to project coordination and leadership, including: ● Contributing to the writing and formulation of the research proposals for both projects. ● Guiding and managing the project team by assigning tasks, coordinating efforts, and supporting team members through technical challenges and key project milestones. Notable achievements include: ● Designing deep learning models that operate reliably under challenging conditions such as connectivity issues through a virtual iot network. ● Developing a decentralized federated learning system where nodes collaborate without a central server, sharing only sparse, noise-protected updates. Using smart consensus strategies, robustness is ensured under non-IID data and node dropouts, demonstrating my ability to design reliable, privacy-preserving AI systems. In addition to these projects, my experience extends to: ● Creating interactive-based AI agent-NLP models integrated into an augmented reality educational game. ● Experience with Python, SQL, NoSQL, and Big Data tools such as Hadoop and Spark, alongside hands-on expertise with frameworks like PyTorch and TensorFlow for advanced data processingWWWW…