Aspiring AI Engineer · NLP & LLM Researcher · Backend Developer
Computer Science student at Universitas Indonesia, passionate about NLP, LLMs, and Generative AI. I develop AI solutions using cutting-edge models like DeepSeek, LLaMA, Mistral, and Qwen with advanced prompting strategies including zero-shot and few-shot learning.
Currently researching LLM-based content classification for my thesis work. I have a strong foundation in Python, Django, and ML frameworks, with particular interest in RAG architectures, VectorDBs, and agent-based systems.
Collaborative ML project for Nusantara Beta Studio. Built neural collaborative filtering model with 82% confidence using PyTorch and deployed with Flask.
Company Collaboration • 2024
Undergraduate thesis comparing LLM performance in Indonesian content moderation using state-of-the-art models with prompt-based classification techniques.
Research • 2024
Led development of logistics management system for RS Ummi hospital. Served as Scrum Master and Lead Backend Developer with 90%+ code coverage using TDD.
Team Lead • 2024
NLP model for detecting sarcasm in news headlines with 80%+ validation accuracy. Features automatic title generation and web deployment.
Personal Project • 2024
Data analysis project examining weather and seasonal effects on bike rental patterns. Created interactive visualizations and deployed with Streamlit.
Dicoding • 2024
Get a detailed overview of my education, experience, projects, and skills.
I'm always interested in discussing AI research, collaboration opportunities, or innovative projects. Let's connect!