I am a Master of Computer Science graduate from IPB University with a strong background in information systems, software development, and artificial intelligence. I have experience in developing web-based systems and building intelligent solutions using deep learning, particularly in natural language processing and computer vision. My work includes sentiment analysis using transformer-based models and image classification using CNN architectures, as well as full-stack system development for real-world applications. I am passionate about integrating AI into practical systems to create efficient, data-driven solutions and continuously improving my skills in both research and software engineering.
Developed a system to manage users, test workflows, and transactions in a web-based IELTS simulation application. Designed database and system workflow and integrated AI-based scoring and feedback features to analyze test results and provide user improvement recommendations.
Teknologi: PHP, JavaScript, HTML, CSS, MySQL
Collaboration with the department team to develop a web-based system to manage the thesis process from topic submission to final evaluation. Designed database and system workflow with multi-role users (students, supervisors, and administrators) to support integrated academic management.
Teknologi: PHP, JavaScript, HTML, CSS, MySQL
Developed an OCR model for handwritten text recognition using CNN, BiLSTM, and CTC. Integrated the model into a system workflow to process image input into text output.
Teknologi: Python, PyTorch, OpenCV
This research explores sentiment classification on imbalanced Indonesian e-commerce review data using transformer-based models and various imbalance handling techniques.
IEEE SCOReD 2025 – Universiti Malaya, Malaysia
This study evaluates the performance of CNN architectures with different optimization algorithms for image classification tasks in the botanical domain.
IEEE ICAISD 2025 – Jakarta, Indonesia