Medical Visual Question Answering
Developed a medical visual question answering system using TensorFlow. Implemented a custom image upload interface and integrated with a medical knowledge base API to provide accurate answers to medical questions.
Computer Science graduate with experience building full-stack and backend systems using .NET, Node.js, and Java. Experienced in API development, database design, and microservice architectures. Fast learner with internship and real-world development experience.
Recent applications and systems I have built for independent clients.
Developed a medical visual question answering system using TensorFlow. Implemented a custom image upload interface and integrated with a medical knowledge base API to provide accurate answers to medical questions.
Designed and developed a native iOS utility app with a highly reactive UI for calculating contraction frequency. Features include custom tab views and intuitive swipe actions for editing and deleting records.
Architecting scalable microservices, RESTful APIs, and event-driven systems.
Building reactive web interfaces and native iOS applications with custom UI components.
Designing normalized schemas and managing data flow for complex applications.
Coordinating technical requirements, reviewing code, and problem-solving in team environments.
Bachelor of Computer Science
Jakarta, Indonesia
Gemastik Finalist, Top 10 National Competition (Kemendikbudristek) | 2022