About Me
I am an undergraduate student at Pancasila University with a strong interest in Artificial Intelligence and Machine Learning. I enjoy working with data and understanding how it can be transformed into meaningful insights through end-to-end ML systems. My curiosity in AI/ML has driven me to explore the full machine learning pipeline, from data preparation and model development to deployment and monitoring in real-world environments.
I have hands-on experience building ML pipelines using Python and implementing monitoring systems with Prometheus and Grafana to ensure reliability and performance. Alongside this, I am actively learning DevOps practices, including CI/CD workflows with GitHub Actions and Jenkins, containerization with Docker, and automation for scalable system deployment. My goal is to bridge machine learning and DevOps to build production-ready, reliable AI systems.
My Journey
Experience
Machine Learning Cohort 2024 H2
Bangkit Academy
Remote
- Learned machine learning fundamentals with focus on deep learning techniques using Python and TensorFlow.
- Developed a capstone project: plant disease detection system using leaf images to identify plant diseases.
- Enhanced soft skills through collaborative projects, presentations, and team-based learning activities.
Machine Learning Mentor at Asah led by Dicoding
Dicoding Academy
Remote
- Mentored 45 students in the field of Machine Learning and AI, helping them understand the concepts and techniques of machine learning and AI.
- Assisted students in building their own machine learning projects, from data preparation to model deployment.
- Provided feedback and guidance to students on their machine learning projects, helping them improve their skills and knowledge.
Data Scienctist Fasilitator at Coding Camp University 2026
DBS Foundation
Remote
- I just get accepted so stay tuned for the details!
Still Grinding...
Always learning, always growing. The journey continues.
Portfolio
Selected Work
Mobile App
KebunQ
A mobile application that helps home gardeners identify plant diseases in crops like grape, tomato, and cucumber using image recognition technology.
Website
Swistination
A web-based tourism recommendation system for Switzerland using Singular Value Decomposition (SVD) for Collaborative Filtering, integrated with MLOps pipeline featuring CI/CD automation and monitoring.
Streamlit App
Student Performance Prediction App
A Streamlit app that predicts student performance based on various features using machine learning models.