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Informatics Engineering Student • Artificial Intelligence Enthusiast

Building withCode and Design

Informatics student at Hasanuddin University focusing on artificial intelligence with growing experience in machine learning and NLP. Learning to build end-to-end ML systems with Python, TensorFlow, and PyTorch.

Featured Work

Selected projects in data science, ML engineering, and full-stack development.

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Medical Anamnesis Chatbot with NLP (Chatbot PUSTU)
Healthcare NLP Application2025

Medical Anamnesis Chatbot with NLP (Chatbot PUSTU)

Production-ready medical chatbot achieving 92.61% intent classification accuracy using Multinomial Naive Bayes for Indonesian Puskesmas healthcare anamnesis workflow. Automated training data generation via Gemini Flash 2.0 API with custom NLP preprocessing pipeline built from scratch.

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MyFriends - Emergency SOS & Contact Management App
Emergency Mobile Application2025

MyFriends - Emergency SOS & Contact Management App

Production-ready emergency SOS app with multi-layered persistent notification system (foreground + background + 60 scheduled alarms), real-time location sharing, and comprehensive contact management using Flutter and Firebase.

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Restaurant Management System - Backend API
Backend API & Cloud Infrastructure2025

Restaurant Management System - Backend API

Production-ready RESTful API for restaurant management with comprehensive RBAC, JWT authentication (access + refresh tokens), advanced filtering & pagination, order workflow state machine, and real-time table status management. Deployed on AWS EC2 with Elastic IP for stable endpoint.

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E-Commerce Trust Simulation with LLM-Powered Agents
Simulation & Modeling2025

E-Commerce Trust Simulation with LLM-Powered Agents

Agent-based simulation using MESA framework with 7,580 LLM-powered autonomous agents to quantify fake review manipulation impact on e-commerce conversion rates, demonstrating +54-72pp increase in targeted low-quality products through rigorous statistical validation (Chi-Square = 121-177, p less than 0.0001).

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Aspect-Based Sentiment Analysis on Financial News
Natural Language Processing2025

Aspect-Based Sentiment Analysis on Financial News

Fine-tuned RoBERTa-base model for aspect-based sentiment analysis on 10,686 financial news headlines achieving 86.67% accuracy on entity-level sentiment classification with comprehensive handling of severe class imbalance through weighted loss and regularization techniques.

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Publication, Design, and Documentation Coordinator at Coder Institute
Creative Media & Community2025

Publication, Design, and Documentation Coordinator at Coder Institute

Coordinating publication workflows, design standards, and documentation systems at Coder Institute for 7 months, ensuring consistent quality across all educational materials and community content while streamlining creative and documentation processes.

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How I Work

My approach to tackling projects, from understanding the problem to delivering solutions.

01
STEP 01

Understand

Start by understanding the requirements, exploring available resources, and defining what success looks like. Learning to ask the right questions before diving into implementation.

02
STEP 02

Build

Develop and iterate on solutions while learning best practices in code organization and design. Focus on creating clean, maintainable, and well-documented work.

03
STEP 03

Deliver

Work towards creating polished solutions with proper documentation. Learning to present work effectively and gather feedback for continuous improvement.

Let's Work Together

Open to data science roles, ML engineering positions, and research collaborations.