AI enthusiast and 5th-semester Artificial Intelligence Engineering student at Institut Teknologi Sepuluh Nopember (ITS), Surabaya 🇮🇩. I work mainly on Computer Vision and Natural Language Processing, taking messy real-world data (satellite imagery, social media text, sensor streams) and turning it into models that hold up in practice. I also serve as Laboratory Administrator at the Information Intelligent Management Laboratory (IIMLab), ITS.

I'm going deeper into AI for healthcare, mainly:

• Medical image analysis: classification and segmentation of radiology and pathology images
• Clinical NLP: extracting structured information from medical text
• Trustworthy AI: explainability, calibration, and robust evaluation for high-stakes decisions

• Computer Vision: ambiguity-aware image classification, semantic segmentation, object detection, and end-to-end OCR pipelines
• Natural Language Processing: Indonesian text understanding, including emotion analysis, topic modeling, and named entity recognition
• Graph & spatiotemporal learning: forecasting traffic across large sensor networks and graph search for navigation prediction
• Multimodal learning: fusing satellite imagery with news text to map poverty risk at the sub-district level
• Reliable & explainable ML: leakage-aware validation, probability calibration, ablation studies, and model interpretation