I build robust, scalable, and efficient backend systems that power modern web applications.
I'm a passionate Backend Engineer with expertise in designing and implementing scalable server-side applications. With a strong foundation in computer science and years of hands-on experience, I specialize in creating efficient, secure, and maintainable backend systems.
My approach combines technical excellence with a deep understanding of business requirements, ensuring that the solutions I build not only perform well but also deliver real value to users and stakeholders.
Lead the backend development team in designing and implementing scalable microservices architecture. Improved API response times by 40% through optimization and caching strategies.
Developed RESTful APIs and implemented authentication systems. Reduced server costs by 30% through performance optimization and efficient database queries.
Full stack developer with a focus on developing Indonesian government applications.
Assisted in backend development tasks, implemented basic CRUD operations, and learned best practices in software development and version control.
A scalable e-commerce backend built with Node.js microservices, handling 10,000+ concurrent users.
A high-performance analytics backend processing 1M+ events daily with Python and Kafka.
Backend for personalized content recommendations using machine learning models.
Designed and implemented a highly scalable e-commerce backend using microservices architecture. The system handles product catalog, user authentication, order processing, and payment integration as separate services communicating via REST APIs and message queues.
Developed a real-time analytics platform that processes over 1 million events daily from various sources. The system provides business intelligence dashboards with near real-time data (5-second latency) and supports complex analytical queries.
Built a content recommendation system that powers personalized suggestions for a media platform with 500,000+ users. The backend integrates multiple machine learning models (collaborative filtering, content-based, and hybrid approaches) to deliver relevant recommendations in real-time.
Feel free to reach out if you're looking for a backend engineer, have a question, or just want to connect.