Work

I am a technology-driven innovator working professionally in Conversational AI, Artificial Intelligence features, and Machine Learning systems, with deep expertise in NLQ, RAQ, and CAG technologies for advanced data understanding and processing. In my role, I design and implement sophisticated chatbot solutions powered by cutting-edge Large Language Models (LLMs) such as GPT, Gemini, and other state-of-the-art architectures, enabling natural, context-aware, and human-like dialogue. I apply Machine Learning algorithms and data engineering practices, including designing and managing data pipelines and DAG workflows, to ensure efficient processing and analysis of large-scale datasets. I build intelligent, user-focused applications that seamlessly integrate frontend and backend development, enhancing human-computer interaction and delivering measurable impact. Based in Athens, I combine technical expertise with creative problem-solving to deliver forward-thinking, high-performance solutions.

University

I am currently an undergraduate student at the Department of Computer Engineering and Informatics (CEID) at the University of Patras, with a strong academic focus on Artificial Intelligence, Machine Learning, and Intelligent Systems. Alongside my studies, I have built a solid foundation in advanced mathematics, including applied mathematics, linear algebra, probability, and differential equations. I have also served as a lab instructor for the Mathematical Foundations in Computer Science course, delivering lectures and tutorials on equations and applied mathematics, sharing knowledge with peers, and contributing to academic activities. Through both coursework and research, I am deepening my expertise in core computer science principles, while exploring how AI, mathematical modeling, and intelligent algorithms can be applied to address complex, real-world problems. Additionally, I have developed a strong interest and growing expertise in cybersecurity, focusing on network security, secure system architecture, and hardware security. I study how to design robust systems resistant to cyber threats, identify vulnerabilities in software and hardware, and implement security measures that protect data, networks, and computational infrastructures. This combination of AI, mathematics, and security knowledge allows me to approach problems holistically, building intelligent and secure technological solutions.

Study

Beyond my academic work, I actively deepen my expertise in Artificial Intelligence and Machine Learning through personal projects, online courses, and regular engagement with recent research papers. I enjoy experimenting with AI models, developing intelligent systems, and exploring how machine learning can be applied to solve real-world challenges—from conversational agents and recommender systems to data-driven decision-making tools.

Alongside AI, I have a strong interest in cybersecurity, where I focus on understanding how to identify, assess, and mitigate security risks. I study secure software design principles and frequently reference OWASP guidelines to recognize and address common vulnerabilities such as SQL injection, XSS, CSRF, and insecure authentication flows. My learning extends to penetration testing methodologies, network security fundamentals, and the implementation of security best practices across both frontend and backend development. I believe security should be an integral part of the software development lifecycle, not an afterthought, and I strive to embed it into every project I build.

Additionally, I work on improving my web development skills—covering modern frontend frameworks and robust backend architectures—so I can create applications that are not only functional and visually engaging, but also scalable, maintainable, and secure against evolving cyber threats.