Nikolay Mihaylov

Recent Computer Science graduate with hands-on experience in full-stack development, game development, and AI applications. Proficient in Java, React.js, Kotlin, and C#, with a strong foundation in building applications, multiplayer games, and database architecture. Seeking an entry-level software development role to leverage my technical expertise and passion for innovation.

• AI research, game development with Unity3D, developing software applications

https://veri.westminster.ac.uk/?reference=70110079-01-IZ5V

• Developed an anti-spam system utilizing machine learning techniques in PyTorch.
• Implemented a classification model to detect and filter spam messages using natural language processing (NLP) techniques.
• Trained and optimized the model using various datasets to improve accuracy and reduce false positives.

• Developed a real-time multiplayer game using Unity3D and C#.
• Integrated Photon Networking to allow up to 4 players to join and compete in an online environment simultaneously.
• Designed engaging gameplay mechanics and user interfaces, enhancing player experience and real-time interaction.

• Created a Java-based system for managing patient medical records with secure database integration.
• Designed and implemented the database architecture using MySQL and XAMPP, ensuring efficient storage and retrieval of medical data.
• Focused on user authentication and secure record management, ensuring GDPR compliance.

• Created a professional website for NetCompany using React.js, showcasing their services, team, and projects.
• Ensured responsive design for optimal performance across devices.
• Implemented third-party APIs to enhance user experience.

• Dice Game: Developed a dice-rolling game using Kotlin, implementing randomization and scoring mechanics.
• Recipe App: Created a recipe management app that allows users to search, save, and organize recipes, with data stored in a local SQLite database.

• Worked on various AI projects involving Machine Learning, Deep Learning, and Reinforcement Learning.
• Applied AI models for image recognition, predictive modeling, and classification.