• 🎓 I'm a Computer Engineer with strong interest in software development.
• 💡 I enjoy building APIs, designing intelligent recommendation engines, and working with graph databases.
• 📊 Currently focused on Spring Boot, Neo4j, and Graph Machine Learning.

• Microservices
• Event-driven architecture with Kafka
• Machine learning in recommender systems with graph database
• Graph data science (Neo4j)
• OAuth2 + Spring Security

A full-stack movie recommendation system with advanced graph-based suggestions.

• Mobile App: Kotlin + Jetpack Compose here
• Backend: Spring Boot with REST APIs here
• Database: Neo4j with millions of user interactions
• Features:
  • User authentication with Firebase
  • Favorites & star-based movie ratings
  • Movie-based recommendations via graph data science and ml
  • User-based collaborative filtering
  • TMDb API integration for movie metadata
  • and more ...
• ML & GDS: here
  • Link prediction using multiple Neo4j GDS models
  • Graph embeddings & hybrid ranking logic

A desktop-based customer management application built with Java, Swing and Hibernate ORM.

• Frontend: Java Swing
• Backend: Java, Hibernate
• Database: Mysql
• Features:
  • Add, update, delete etc. customer/product records
  • manage cart, basket
  • user login
  • Data persistence with Hibernate
  • Clean and intuitive Swing GUI
  • MVC architectural pattern
  • and more ... repo