I build fullstack web applications and applied machine learning systems, from Laravel services to computer-vision prototypes that can be tested in real settings.
I currently work at Kalbe Nutritionals and share public work across web engineering, computer vision, and practical data analysis.
| Area | What I am exploring |
|---|---|
| Fullstack Web | Laravel, CodeIgniter, Vue, and ASP.NET applications for operations and internal tools. |
| Computer Vision | Realtime detection and image classification with YOLOv8 and CNN models. |
| Applied Data | Scraping, clustering, and classical ML on product and public datasets. |
| Project | Focus | Why it matters |
|---|---|---|
| Detection-Tools | Realtime computer vision | Realtime YOLOv8 detection for 11 workshop hand tools, turning a camera feed into a practical inspection aid. |
| Kas RT | Community cash operations | A CodeIgniter 4 system for managing neighborhood (RT) cash, covering day-to-day community finance records. |
| Acne-Detection | Medical image classification | A CNN model that detects and classifies facial acne types from images to support faster visual screening. |
| Scrap-App-ML | Review clustering | Play Store review scraping followed by k-means clustering to surface themes in mobile-game feedback. |
I am interested in machine learning that leaves the notebook: detecting objects in workshops, classifying images, clustering product reviews, and connecting those models to web systems people can actually use.
Recent public activity will appear here after the workflow runs.
Building fullstack web systems and applied machine learning in Bekasi.