Aspiring Full Stack .NET Developer with practical experience in web development, strong front-end foundations, and growing expertise in Python and AI. Experienced in both software building and technical instruction, with a passion for creating clean, scalable, and user-centered applications. I enjoy solving real-world problems, learning modern technologies, and transforming ideas into effective digital products.
Results-driven Full Stack .NET Developer passionate about building clean, scalable, and user-focused web applications. Skilled in modern web development, problem-solving, and delivering practical digital solutions.
Relevant coursework includes Machine Learning, Data Structures, Algorithms, Neural Networks, and AI Ethics.
Core technologies and areas I work with.
Participated in the 2024 competition focused on robotics and AI.
A selection of projects that reflect my interests in AI, security, and software development.
Built a machine learning model to detect network intrusions and classify traffic as normal or malicious using the KDD dataset. The workflow included data cleaning, categorical encoding, normalization, feature selection, model training, and performance evaluation.
Evaluation covered Accuracy, Confusion Matrix, ROC Curve, and AUC score, showing strong potential for real-world intrusion detection scenarios.
Developed the classic NIM Game with an AI opponent powered by the Minimax algorithm, a core idea in Artificial Intelligence and Game Theory. The project demonstrates how AI evaluates possible states and chooses the optimal move in a two-player strategy game.
This project highlights my understanding of recursion, decision trees, game algorithms, and AI-based decision making.
Feel free to reach out for internships, freelance work, or collaboration.