Fullstack Developer

Building efficient, scalable web applications and exploring the intersection of Enterprise Frameworks and Artificial Intelligence.

• 🔭 Working as: Fullstack Developer
• 📚 Deepening: Spring Boot (Java) & .NET Ecosystem
• 🧠 Research Interests: NLP, Deep Learning, & Swarm Optimization

• Backend: Go, Java (Spring Boot), C# (.NET Core), Python, PHP (Laravel)
• Frontend: JavaScript, React, Tailwind CSS, Bootstrap, Vue
• Databases: PostgreSQL, MySQL, SQL Server
• Mobile: Flutter, React Native, Kotlin, KMP

My thesis focused on detecting Online Gambling Comments on YouTube using Bi-LSTM.

• Key Finding: Discovered that including emoji features significantly improves model accuracy compared to text-only datasets.
• Insight: Emojis in gambling contexts carry heavy semantic weight that enhances pattern recognition in Deep Learning models.

Open for discussions on tech, remote workflows, or Manchester United's tactical setup.

📂 Download My Resume

"Focus on the process, the results will follow."
🔴 GGMU