Machine Learning
Batik Yogyakarta Classification
Web-based classification system for identifying Yogyakarta batik motifs and characteristics.
- CNN and NLP workflow
- Data augmentation and balancing
- Streamlit deployment
Yogyakarta, Indonesia / 2026
I am an Informatics graduate who builds secure web applications and practical AI systems with Laravel, CodeIgniter, Flutter, Python, and TensorFlow. The work sits between careful interfaces, dependable infrastructure, and models that earn their place in the product.
01 / operator portraitA small archive of web products and applied machine learning. Each one starts with a real constraint, not a technology checklist.
Machine Learning
Web-based classification system for identifying Yogyakarta batik motifs and characteristics.
Healthcare AI
Bangkit Academy healthcare solution using a TensorFlow CNN integrated into a Kotlin mobile application.
Web & Mobile Product
Integrated bakery management system with a Laravel API, web frontend, and Flutter mobile application.
Internal Communication Platform
Laravel feedback platform designed for approximately 7,000 employees at Toyota Motor Manufacturing Indonesia.
Client Website Revamp
CodeIgniter CMS with role-based access, hierarchical regional data, and JSON-driven navigation workflows.
A practical stack, organized around the work it needs to do. Monospace is reserved for the tools and the measurable details.
Experience is best read as a trail of problems solved: clearer communication, more usable products, and a stronger technical foundation.
PT Toyota Motor Manufacturing Indonesia
Built a Laravel feedback platform with RBAC, five active categories, four workflow states, AJAX updates, and administrative analytics for approximately 7,000 employees.
PT Diginet Media
Developed a CodeIgniter CMS with CRUD modules, RBAC, hierarchical regional records, responsive administration interfaces, and JSON-based menu workflows.
Bangkit Academy led by Google
Selected as 1 of 4,636 students from more than 45,000 registrants; completed 905 hours of training, graduated with Distinction, and earned a final score of 95.40/100.
Kelompok Studi Pemrograman
Participated in Java and machine learning coding sessions, technical discussions, and collaborative project activities.
The formal foundation behind the work, plus a focused selection of certifications that support the engineering and machine learning practice.
Education
Universitas Atma Jaya Yogyakarta
Aug 2021 — Feb 2026 / IPK 3.55/4.00Organization
Komunitas Mahasiswa Toraja (KMT UAJY)
Jul 2022 — Jul 2023Contributed to seven organizational events through concept planning, coordination, implementation, and cross-division follow-up.
Selected certifications
17 recordedOpen for the right problem
For thoughtful product work, internal tools, or applied AI with a clear job to do.
Emailelluygabrielp@gmail.comGitHubgithub.com/elluy-gabriel-pLinkedInlinkedin.com/in/elluy-gabriel-panambeWhatsApp+62 851 7170 3304