Fullstack engineer, with a second track in data and machine learning.
Flutter, Laravel and Supabase in production. Two paid client platforms live, an internship at PT Pos Indonesia, and a thesis accepted at IC2IE 2026.
Informatics graduate from Telkom University, GPA 3.77. I shipped a Flutter app and its Laravel web companion on one Supabase backend at PT Pos Indonesia, delivered a tourism platform alone for a paying client, and built a company profile site with one other developer. Alongside that: a year teaching operating systems labs, and a thesis on optimizing neural network architecture with the Grey Wolf Optimizer.
Flutter and Laravel apps on Supabase. Schema design, admin dashboards, deployment.
Applied ML on the Tox21 dataset with TensorFlow, Scikit-learn and RDKit. Metaheuristic architecture search.
Company profile for a kretek brand under CV. Prioritas Group, with a custom CMS behind it. Built with one other developer.
An admin panel built by hand: full CRUD over products, articles and careers, drag-and-drop product ordering persisted to a sort column, and per-product sub-items.
- Laravel
- Tailwind
- Alpine.js
- GSAP
- PostgreSQL
- Vercel
Flutter mobile app and Laravel web companion with feature parity on one Supabase backend, synced in real time. Mobile shipped test-ready; web at ~70%.
Led labs on process management, memory, file systems and synchronization; evaluated assignments and projects.
Student grouping and liaison assignment, Convention Hall seating plan, Student Fair timetable.
Projects
2024 — 2026Every project opens a page with the role, stack and outcome behind it.
INDETA
Deployed & DeliveredFullstack Engineer
Tourism platform: destinations, UMKM products, travel packages and articles, with visitor reviews and an admin CMS. Laravel renders, Supabase does the rest.
- Laravel
- Supabase
- PostgreSQL
- Tailwind
- Vite
- Vercel
Room Management System
PT POS INDONESIA
Room booking for PT Pos Indonesia: a Laravel web app and a Flutter app, two independent clients on one Supabase backend.
- Laravel
- Flutter
- Supabase
- PostgreSQL
- Tailwind
- Firebase
QSAR Toxicity Prediction (GWO-ANN)
Research Thesis - International Conference at IC2IE - Machine Learning
Hyperparameter optimization of an ANN with the Grey Wolf Optimizer to predict chemical toxicity (Tox21, NR-ER-LBD endpoint) — an 18.6:1 imbalanced binary classification problem. Thesis accepted at IC2IE 2026.
- Python
- TensorFlow / Keras
- Scikit-learn
- RDKit
- imbalanced-learn
- NiaPy
- Pandas
- NumPy
AUTENTIK
PROJECT MANAGER
AI verification of student activity certificates: dual OCR, a font classifier, and Gemini cross-checking behind a Laravel + FastAPI monorepo.
- Laravel
- FastAPI
- MySQL
- Docker
- Nginx
- PyTorch
- ONNX
Prediction of ER-LBD Toxicity using an ANN Optimized by Grey Wolf Optimizer
Tox21 dataset, 8,751 compounds at 18.6:1 imbalance. Morgan fingerprints and physicochemical descriptors reduced to 500 features by Mutual Information; SMOTETomek applied only inside the training split.
- F1-SCORE
- 0.5809 → 0.5946
- FALSE POSITIVES
- 37 → 22
- ARCHITECTURE
- 54-32-128
- FEATURES
- 500 via MI