1+
Years of Experience
10+
Completed Projects
5+
Satisfied Clients
Projects
iPadOS, Swift, UIKit, Core Bluetooth, MVVM-C
BUBO Robot
iOS, Swift, UIKit, Supabase, MVVM-C
Cococool
iPadOS, C#, Unity
Archipelarogue
macOS, Swift, SpriteKit, CoreML
Don't Blink
iOS, Swift, SwiftUI, Tavus API, Supabase
Pocket Interview
iPadOS, SwiftUI, SwiftData, SwiftCharts
Sako
Laravel, PHP, MySQL, Bootstrap, AdminLTE
Information System for Study Program Services
Machine Learning, TensorFlow, MobileNetV2, TFLite, Android
Patuli: Pahlawan Tuli
Machine Learning, PyTorch, YOLOv5, YOLOv8, Python
Coconut and Copra Quality Detection
Software Engineer specializing in iOS and Web development with hands-on experience integrating AI/ML capabilities. Experienced in delivering end-to-end projects by turning complex systems into intuitive and responsive interfaces. Focused on writing maintainable code and building scalable architecture.
Work Experience
Software Engineer Intern - iOS
Apple Developer Academy
/Indonesia
- Engineered the BUBO Robot companion app for iPadOS using MVVM-C, UIKit, and Core Bluetooth, featuring a CodeBlock interface to control a physical robot and scan RFID components for real-time interactive learning.
- Developed Cococool using MVVM-C and UIKit, an iOS app streamlining the snorkeling booking experience with clear trip details and community photo galleries.
- Designed Archipelarouge using Unity and the MDA Framework, an iPadOS bullet hell game reimagining Indonesian folklore through fast-paced gameplay and spatial storytelling.
- Crafted Don't Blink using SpriteKit, CoreML, and the MDA Framework, a 2D macOS horror game featuring real-time eye-blink detection as the core mechanic.
- Delivered Sako using SwiftUI, SwiftData, and SwiftCharts, an offline iOS app enabling seamless sales tracking and intuitive data visualization.
Machine Learning Engineer Intern
UIN Syarif Hidayatullah Jakarta
/Indonesia
- Developed a Tkinter and OpenCV desktop GUI, integrating industrial sorting machines via PySerial for real-time quality assessment.
- Preprocessed a custom coconut and copra image dataset using background removal, resizing, and augmentation to train YOLOv5 and YOLOv8 object detection models via transfer learning.
Machine Learning Engineer Intern
Bangkit Academy
/Indonesia
- Completed all Machine Learning courses with A grades, mastering Python and TensorFlow through hands-on projects.
- Preprocessed a custom sign language image dataset to train a MobileNetV2 model via transfer learning and deployed the optimized TFLite model to Android for real-time recognition.
Education
Bachelor of Computer Science in Informatics
UIN Syarif Hidayatullah Jakarta
/Indonesia
- Collaborated on two faculty-led research projects, developing machine learning models for automated coconut and copra quality detection and building an Android app for Islamic education.
- Architected an academic service information system for the Faculty of Science and Technology, streamlining administrative workflows for students and faculty members.
- Served as a Research and Development Department member of the Informatics Student Association (HIMTI), supporting academic research initiatives and student development programs.
Hard Skills
Soft Skills
Languages
Indonesian - Native
English - Intermediate
Japanese - Basic