I am a computer science graduate who is passionate about networking, cybersecurity, and AI-driven solutions. Over the years, I have gained valuable experience by completing CCNA training and building practical labs in Packet Tracer and GNS3, where I designed WANs, configured DHCP, and implemented security features. I have also developed Python projects in Jupyter Notebook, applying concepts such as gradient descent and linear regression. In my academic and freelance journey, I have been working on projects that connect theory with real-world applications, and I have created clear, copy-paste-ready documentation that clients can rely on. I have successfully supported small businesses by providing reliable, easy-to-understand solutions, and I am confident that my ability to simplify complex problems adds real value. I have been continuously improving my skills in both networking and machine learning, and I am eager to contribute to projects that require a mix of technical depth and practical execution. Clients have trusted me because I focus on clarity, reliability, and results. If you are looking for someone who can deliver professional, well-documented, and dependable solutions, I would be glad to collaborate with you.