I have worked on various projects, both personal and collaborative, that showcase my skills and creativity. Here are some of my notable projects that I am proud to share.

Codepilot is an Qwen 2.5-Coder:7B Powered coding assistant designed to help developers write code faster and more efficiently. It provides for code generation, fixing code, refactoring and explaining code, making it easier for developers to focus on their work and improve productivity.

The goal of this MLOps project is to build and deploy a robust heart failure prediction system using machine learning model. The project will use an MLOps lifecycle to automate the training, optimization, and deployment of the model.

This project aims to develop an optimized stroke risk prediction model using Artificial Neural Networks (ANN) combined with feature selection based on Binary Particle Swarm Optimization (BPSO). The goal is to enhance the accuracy and efficiency of stroke risk assessment by identifying the most relevant features and fine-tuning the ANN model.

Repository showcasing all work from the Bangkit Academy 2024 Batch 2 - Cloud Computing Cohort, including course submissions, code resources, and documentation.

Repository showcasing all work from the Dicoding ML Engineer Path self-learning subscription, including course submissions, code resources, and documentation.
If you want to see more of my projects check out my GitHub or press the button on the navbar.
I have obtained various certifications that demonstrate my expertise and commitment to continuous learning. Here are some of the certifications that I am proud to showcase.
Dicoding Indonesia
Dicoding Indonesia
Dicoding Indonesia
If you want to see more of my certificates check out my LinkedIn or press the button on the navbar.